Chapter 3: Observations: Surface and Atmospheric Climate Change

Size: px
Start display at page:

Download "Chapter 3: Observations: Surface and Atmospheric Climate Change"

Transcription

1 0 0 Chapter : Observations: Surface and Atmospheric Climate Change Coordinating Lead Authors: Philip D. Jones, Kevin E. Trenberth Lead Authors: Peter G. Ambenje, Roxana Bojariu, David R. Easterling, Albert M. G. Klein Tank, David E. Parker, James A. Renwick, Fatemeh Rahimzadeh, Matilde M. Rusticucci, Brian J. Soden, Pan-Mao Zhai Contributing Authors: R. Adler, L. Alexander, H. Alexandersson, R. P. Allan, M. P. Baldwin, M. Beniston, D. H. Bromwich, I. Camilloni, C. Cassou, D. R. Cayan, E. K. M. Chang, J. R. Christy, A. Dai, C. Deser, N. Dotzek, R.L. Fogt, C. K. Folland, M. Free, C. Frei, B. Gleason, J. Grieser, P. Y. Groisman, S. K. Gulev, J. W. Hurrell, S. A. Josey, P. Kallberg, G. Kiladis, R.H. Kripalani, K. E. Kunkel, C-Y. Lam, J. R. Lanzante, D. H. Levinson, B. G. Liepert, G. J. Marshall, C. A. Mears, P. W. Mote, H. Nakamura, N. Nicholls, J. R. Norris, T. Oki, P. Robinson, K. Rosenlof, F. H. Semazzi, D. J. Shea, J. M. Shepherd, T. G. Shepherd, S. C. Sherwood, A. Simmons, I. Simmonds, P. C. Siegmund, C. D. Thorncroft, P. D. Thorne, S. Uppala, R. S. Vose, B. Wang, S. G. Warren, R. Washington, M. Wheeler, B. A. Wielicki, T. Wong. Review Editors: Brian J. Hoskins, Bubu P. Jallow, Tom R. Karl Date of Draft: January 00 Notes: Figures: TSU-cleaned version. Do Not Cite or Quote - Total pages:

2 0 Box., Figure... Composites of time-height development of the northern annular modes for (a) weak vortex events and (b) 0 strong vortex events. The events are determined by the dates on which the 0 hpa annular mode values cross.0 and +., respectively. The indices are nondimensional; the contour interval for the colour shading is 0., and 0. for the white contours. Values between 0. and 0. are unshaded. The thin horizontal lines indicate the approximate boundary between the troposphere and the stratosphere. Modified from Baldwin and Dunkerton (00). Do Not Cite or Quote - Total pages:

3 Rainfall (mm) Mean maximum temperature anomaly (C) Year - Rainfall (mm) Mean maximum temperature (C) Box.., Figure... Time series of annual rainfall total (blue) and mean maximum temperature (red) averaged across Australia, 0 00 (data from Do Not Cite or Quote - Total pages:

4 Box.., Figure... Percentage of US west of the Rocky Mountains dry (top) or wet (bottom) based on the Palmer Drought Index for classes moderate to extreme drought or wet. From NCDC/NESDIS. Do Not Cite or Quote - Total pages:

5 JJA Tmax frequency A B C JJA Tmax [ C] Box.., Figure... Gaussian distributions fitted to the summer maximum temperature data at Basel, Switzerland, for (A) the 0 reference period; (B) the 0 00 A- scenario simulation; and (C) the 00 heat wave (Benniston, 00; Christensen et al., 00; Christensen et al., ). Do Not Cite or Quote - Total pages:

6 0 Figure... (a) Annual anomalies of global land surface air temperature, to 00, relative to to 0 ( C) from Jones and Moberg (00). The smooth curves were created using a -point binomial filter to give near-decadal averages. (b) The thick solid curve from (a) is compared with a corresponding smoothed curve based on the NCDC (Reynolds and Smith, 00) series. [Add GISS analysis.] The shaded band (missing) represents uncertainties in the Jones and Moberg (00) analysis estimated using an optimum averaging method (Folland et al., 00) and includes uncertainties arising from urbanization but not uncertainties arising from thermometer exposures. Do Not Cite or Quote - Total pages:

7 Figure... Annual trends in maximum temperature, minimum temperature and diurnal temperature range for global land areas. From Vose et al. (00). Do Not Cite or Quote -0 Total pages:

8 0 Figure... Anomaly time series of the full USHCN data (black) and the USHCN data without the % of the stations with populations of over 0,000 within km in the year 000 (grey). The full data set values minus the set without the most urban stations are shown with a dashed line. Clearly the warming in recent years is not caused by increasing urban heat island effects at the most urban stations. Figure is from Peterson and Owen (00). [The grey line is only really visible on a screen.] Do Not Cite or Quote - Total pages:

9 0 Figure... (a) Annual anomalies of global SST (bars and solid curve) and global night marine air temperature (NMAT, dotted curve), to 00, relative to to 0 ( C) from UKMO (Rayner et al., 00)). The smooth curves were created using a -point binomial filter to give near-decadal averages. The dashed curve shows equivalent smoothed SST anomalies from the TAR. (b) Smoothed annual global SST to 00, relative to to 0 ( C), from UKMO (thick line as in (a), Rayner et al. (00) and from Reynolds et al. (00) (thin solid line, includes satellite data). to 0 ( C), from UKMO (thick line as in (a), Rayner et al. (00), thin solid line is Reynolds et al. (00) including satellite data and from Japan [(Ishii et al., 00) to be provided, dashed line. Figure not yet complete, current version comes from the TAR!] Do Not Cite or Quote - Total pages:

10 0 Figure... (Continued). (c, d). As (a) but for the Northern and Southern Hemispheres and showing only the Rayner et al. (00) series. To be updated from Figure.c, d of TAR. Add best Reynolds version of SST. [The diagrams reproduced here are from the TAR!] Do Not Cite or Quote - Total pages:

11 0 Figure... (Continued). (e). Annual anomalies of SST in the extratropical North Atlantic north of N, 0 00, relative to to 0 ( C), based on Rayner et al. (00). [Add best Reynolds version of SST.] Do Not Cite or Quote - Total pages:

12 Figure... Global and hemispheric series of combined SST and land surface air temperature from the CRU-UKMO analysis (Parker et al., 00). Annual error bars were estimated as in Folland et al. (00) and the TAR. The smooth curves were created using a -point binomial filter giving near-decadal averages. Do Not Cite or Quote - Total pages:

13 0 Figure... Smoothed annual anomalies of global average sea surface temperature (blue curve), night marine air temperature (green curve) and land surface air temperature (red curve) to 00, relative to to 0 ( C) (Rayner et al., 00; Jones and Moberg, 00). The smooth curves were created using a -point binomial filter to give near-decadal averages. Also shown (inset) are the smoothed differences between the land-surface air and sea surface temperature anomalies. Do Not Cite or Quote - Total pages:

14 Figure... Trends in annual land air temperature and SST anomalies in HadCRUTv, 00. [Provided by Tom Peterson, NOAA/NCDC]. Do Not Cite or Quote - Total pages:

15 Figure... Trend of annual temperatures for 0 00 (produced by NCDC from Smith and Reynolds (00)). Areas in white have incomplete data to produce reliable trends. [Views on projection and colour scheme appreciated.] Do Not Cite or Quote - Total pages:

16 Figure... (a b). Trend of annual and seasonal trends for 00 (from Smith and Reynolds (00)). Areas in white have incomplete data to produce reliable trends. [Views on projection and colour scheme appreciated.] Do Not Cite or Quote - Total pages:

17 Figure... (Continued). (c d). Do Not Cite or Quote -0 Total pages:

18 Figure... (Continued). (e). Do Not Cite or Quote - Total pages:

19 0 0 to 00 P =. mm P yr = 0. mm yr P per decade =. mm per decade % P per decade = 0.% per decade to 00 P =. mm P yr = 0.0 mm yr P per decade =.0 mm per decade % P per decade =.0% per decade Figure... Precipitation average for global land areas, [Will have title of Global Land Precipitation Anomalies and the information underneath the figure will be added to the caption.] Do Not Cite or Quote - Total pages:

20 Figure... Trend of annual precipitation total for (Grey areas show missing data, generally regions with incomplete records over the 0-year period). Do Not Cite or Quote - Total pages:

21 0 Figure... Trend of annual and seasonal precipitation totals for 00. (Colour schemes and shading are similar to Figure..). Do Not Cite or Quote - Total pages:

22 Figure... (Continued). Do Not Cite or Quote - Total pages:

23 Figure... (Continued). Do Not Cite or Quote - Total pages:

24 Figure... Geographic distribution of -year change in rainfall (mm day ) from the GPCP data set. Do Not Cite or Quote - Total pages:

25 T MSU Height (km) TMSU T T Strat Corr T MSULT 0.0 Relative Weighting Function Figure... Weighting functions and global time series for the various satellite-based atmospheric temperature data records. Do Not Cite or Quote - Total pages:

26 0 Figure... Equivalent global monthly-mean MSU bulk tropospheric T (bottom panel) and lowerstratospheric T (top panel) temperature anomalies derived from ERA-0 analyses (red) compared with actual MSU data (blue) processed by Mears et al. (00). The shaded area in the top panel is spurious and related to a problem in bias correction of radiance data from the NOAA- satellite. Adapted from Santer et al. (00). Do Not Cite or Quote - Total pages:

27 0 Figure... Global temperature variations for (a) the surface and low-mid troposphere and (b) the lower stratosphere. In (a), T LT since (Christy et al., 00; blue) is compared with radiosonde-based temperatures (Parker et al., ; red) and surface data (Jones and Moberg, 00: Jones et al, 00; black) since. In (b), T since (Spencer and Christy ; blue) is compared with radiosonde-based temperatures (Parker et al. ; red) since. Values ( C) are for -month running seasons ending September to November 00, and are expressed relative to the 000 average. The stratospheric radiosonde data are adjusted to compensate for known instrumental changes since using MSU Channel as a reference. Do Not Cite or Quote -0 Total pages:

28 0 Figure... Synthesis of tropical temperature trends since, from CCSP (00). The blue (red) circles are from the UAH (RSS) analyses of MSU retrievals. The black (purple) squares are from the HadAT (LKS) radiosonde temperature analysis. The cross represents the identical trends in the HadCRUTv, NCDC and GISS blended land surface air temperature and SST analyses. The green (orange) diamonds are based on the NCEP/NCAR (ERA-0) reanalyses. For explanation of data sources, see main text. Note that radiosonde sampling in the tropics is sparse, and surface sampling, though much better than radiosonde sampling, is incomplete. The layers Low-Trop, Mid-Trop and Low-Strat correspond to the weighting profiles of TLT, T and T respectively. Trop-UW is 0 00 hpa derived from Mid-Trop following Fu et al. (00a,b). Do Not Cite or Quote - Total pages:

29 0 Figure... Trends in monthly mean temperature anomalies. MSU-derived 0 00 hpa layer temperature trend for the globe, Northern Hemisphere (NH), Southern Hemisphere (SH) and tropics (0ºN 0ºS). The results using both UAH (version ) and RSS data sets are shown along with surface temperature trends from Jones and Moberg (00), except the surface trend for the tropical region is from the TAR. From Fu et al. (00a). Do Not Cite or Quote - Total pages:

30 0 Figure... Linear trends in precipitable water for 00 in % per decade (top) and monthly time series of anomalies over the global ocean plus linear trend (bottom), from RSS SSM/I (Trenberth et al., 00). Do Not Cite or Quote - Total pages:

31 0 Figure... Left: Annual total cloud cover from to 00 derived by gridding and area-averaging synoptic observations from over,000 weather stations and available marine reports over global (0 S N) ocean (red), land (excluding the U.S. and Canada, green), and land plus ocean (black) areas. Right: The land cloud cover shown in the left column is compared with gauge-based precipitation estimates (red) for the same land areas, with the correlation coefficient (r) shown on the top (from Dai et al., 00). Do Not Cite or Quote - Total pages:

32 0 Figure... Tropical mean (0ºS to 0ºN) TOA flux anomalies for SW, LW, and Net radiative fluxes from to. Colored lines are observations from ERBS Edition data (Wielicki et al., 00a) including spacecraft altitude and SW dome transmission corrections. The mean of AMIP climate model simulations is shown as the black dashed line, with the total range of all model anomalies in grey (Wielicki et al., 00a). Do Not Cite or Quote - Total pages:

33 0 Figure... Time series of global ocean heat storage (Willis et al., 00) and TOA global net radiation estimates from ERBS and CERES (Wielicki et al., 00a). Both time series are annual running means. ERBS samples / of the globe from ºN to ºS, while CERES is global (0ºN to 0ºS). Ocean heat storage data is adjusted to global surface area to allow direct comparison to global net radiation at TOA. Do Not Cite or Quote - Total pages:

34 0 Figure... Height changes (in gpm) of the ERA-0 00 hpa geopotential height fields from 00 fordjf for (a) and (d) and JJA for (b) and (c), for the NH (left) and SH (right). The changes are calculated by multiplying the slope of the linear regression line at each grid point by the time interval ( years). Stippled regions indicate areas where the changes are significant at >% confidence level. From Bromwich and Fogt (00). Do Not Cite or Quote - Total pages:

35 0 Figure... Estimates of linear trends in significant wave height (cm per decade) for the regions along the major ship routes for the period (a) and for the global ocean for the period 0 00 (b). In regions where trends are significant at % level, are bounded by bold lines. In (b) trends are shown only for the locations where they are significant at the % level. Do Not Cite or Quote - Total pages:

36 0 Figure... The PNA (top) and NAO (bottom) teleconnection patterns, shown as one-point correlation maps of 00 hpa geopotential heights for boreal winter (December February) over 00. In the top panel, the reference point is ºN, ºW, corresponding to the primary centre of action of the PNA pattern. In the lower panel, the NAO pattern is illustrated based on a reference point of ºN, 0ºW. Negative correlation coefficients are dashed, the contour increment is 0., and the zero contour has been excluded. From Hurrell et al. (00). Do Not Cite or Quote - Total pages:

37 0 Figure... Correlations with the SO index for annual (May to April) means of sea level pressure (top), seasonal anomalies for surface temperature (middle), and CMAP precipitation (bottom). The first two are for and the last. From Trenberth and Caron (000). Do Not Cite or Quote -0 Total pages:

38 Figure..x. (Caption next page) Do Not Cite or Quote - Total pages:

39 0 Figure..x. Maps of regions of significant correlation between teleconnection indices and surface air temperature (columns and ) and precipitation (columns and ), over the period 00. Temperature data come from the ECMWF 0-year reanalysis -metre temperature field, and precipitation from the Global Precipitation Climatology Project (GPCP). The first and third columns show correlations for December February (DJF) and the second and fourth for June August (JJA). Only regions where correlations exceed 0. (0% significance level, two-sided, assuming degrees of freedom) in magnitude are plotted. Positive correlations are stippled and negative correlations are cross-hatched. The first row is for ENSO Nino. SST anomalies, second for NAO, third for NAM, fourth for SAM and the last row is for the NPI index. [This figure is in the list of Figures, but is not directly referred to in the text. It is a first attempt to produce such a Figure.] Do Not Cite or Quote - Total pages:

40 Figure... Southern Oscillation Index (SOI) based solely on the Darwin sea level pressures starting in. [Other indices may be plotted.] Do Not Cite or Quote - Total pages:

41 (a) (b) 0 Figure... (a) Sea surface temperature pattern of the interdecadal Pacific Oscillation (Power et al., b) and (b) time series of the Pacific Decadal and Interdecadal Pacific Oscillations (Folland et al, 00). Do Not Cite or Quote - Total pages:

42 0 Figure... (a, upper) Time series of sea level pressure during December March averaged over the North Pacific (0º ºN, 0ºE 0ºW) from 00 to 00 expressed as normalized departures from the long-term mean (each tick mark on the ordinate represents two standard deviations, or. hpa). This record reflects the strength of the wintertime Aleutian Low Pressure System, with positive (negative) values indicative of a weak (deep) Aleutian Low. The thin shaded curve is the raw time series and the thick curve is a low-pass filtered version using a weighted -point running mean. Values were updated and extended to earlier decades from Trenberth and Hurrell (). (b, lower) As in (a) but for SSTs averaged over the Tropical Indian Ocean (0ºS 0ºN, 0º ºE; one standard deviation equals 0. K). This record has been inverted to facilitate comparison with (a). The dashed vertical lines mark years of transition in the Aleutian Low record (,, ). From Hurrell et al. (00). Do Not Cite or Quote - Total pages:

43 Figure... PSA pattern (Mo, 000) [Check that this figure does come from that paper] Do Not Cite or Quote - Total pages:

44 0 Figure... Changes in mean winter (December March) land surface and sea surface temperatures ( 0 ºC) corresponding to a unit deviation of the NAO index over The contour increment is 0.ºC. Temperature changes >0.ºC are indicated by dark shading, and those < 0.ºC are indicated by light shading. Regions of insufficient data (e.g., over much of the Arctic) are not contoured, and the zero contour has been excluded. From Hurrell et al. (00). Do Not Cite or Quote - Total pages:

45 0 Figure... Normalized indices of the mean winter (December March) NAO constructed from sea level pressure data. In the top panel, the index is based on the difference of normalized sea level pressure between Lisbon, Portugal and Stykkisholmur/Reykjavik, Iceland from through 00. The average winter sea level pressure data at each station were normalized by division of each seasonal pressure by the long-term mean ( ) standard deviation. In the middle panel, the index is the principal component time series of the leading empirical orthogonal function (EOF) of Atlantic-sector sea level pressure. In the lower panel, the index is the principal component time series of the leading EOF of Northern Hemisphere sea level pressure. The heavy solid lines represent the indices smoothed to remove fluctuations with periods less than years. The indicated year corresponds to the January of the winter season (e.g, 0 is the winter of /0). See for updated time series. Do Not Cite or Quote - Total pages:

46 Figure... SAM index calculated from station data (Marshall, 00), and SAM (AAO) pattern (Thompson and Wallace, 000). Do Not Cite or Quote - Total pages:

47 0 Figure..0. The regression of changes in surface temperature over the -year period ( ) corresponding to a unit change in the SAM index. Contours show the % confidence levels. From Kwok and Comiso (00b). Do Not Cite or Quote -0 Total pages:

48 0 Figure... Change in the epoch mean annual range of precipitation: post- epoch minus pre- epoch. Blue (red) colour denotes decreasing (increasing) annual rage of the monsoon rainfall. The solid black curves outline the boundaries of monsoon rainfall domains. Data used are obtained from NCEP (PREC/L) (Chen et al., 00). Do Not Cite or Quote - Total pages:

49 0 Figure... Time series of the summer mean rainfall rate at each of the monsoon region (land-based observation only) for major NH (a) and SH (b) summer monsoon rainfall regions. Data used are obtained from NCEP (PREC/L) (Chen et al., 00). Do Not Cite or Quote - Total pages:

50 Fig... Variation of East Asian summer monsoon index from 000 (from Guo et al., 00.) Do Not Cite or Quote - Total pages:

51 0 Figure... Times series of northern Australian (north of ºS) wet-season (October April) rainfall during 00/0 to 00/00. Black curve indicated -year running mean (produced using data portal at Do Not Cite or Quote - Total pages:

52 0 Figure... Time series of Sahel regional rainfall for April October from 0 to 00 derived from gridding station anomalies (solid line) and normalized station anomalies (short-dashed line) and then averaging them using area weighting (from Dai et al., 00a) Do Not Cite or Quote - Total pages:

53 Figure... Map showing broad areas of increasing/decreasing extremes of daily minimum temperature since. [hopefully from Alexander et al. 00a] Do Not Cite or Quote - Total pages:

54 0 Figure... Map showing broad areas of increasing/decreasing extremes of moderate to heavy daily precipitation since. This map summarizes results by Groisman et al. (00a) as well as the results from many others (Stone et al., 000; Zhang et al., 00a; Frei and Schär, 00; Alpert et al., 00; Frich et al., 00; Sen Roy and Balling, 00; Osborn et al., 000; Tarhule and Woo, ; Suppiah and Hennessy, ; Zhai et al.,, 00). [Map will be revised when regional workshop results come in.] Do Not Cite or Quote - Total pages:

55 Figure... Number of Atlantic hurricanes (US landfalling) and tropical cyclones in other regions. [need update for above TAR figure] Do Not Cite or Quote - Total pages:

56 Figure... Seasonal values of the ACE index for the Atlantic basin. [to be updated] Do Not Cite or Quote - Total pages:

57 0 Figure... Tropical Atlantic SST anomalies for the region 0ºN 0ºN 0ºW 0ºW taken from the GISST (up till 000) and NCEP OI (after, dotted) archives combined. The thin line depicts annual means and the heavy line is the 0-year running mean. [Should use HADISST? All Figures in this section still undecided. We have tried to get series for other regions than the N. Atlantic but have not been successful] Do Not Cite or Quote -0 Total pages:

58 Figure... Storm index for British Isles, North Sea, Norwegian Sea,. Dots are -percentiles and crosses -percentiles of standardized geostrophic winds averaged over 0 sets of triangles of stations. The smoothed curves (solid for -percentiles) are obtained by a Gaussian low pass filter (Alexandersson et al., 000). Do Not Cite or Quote - Total pages:

59 0 Figure A... Precipitation measurement biases at Fairbanks, Alaska, where the relocation of the rain gauge from the ground to the roof of the building and then back to the ground in the early 0s and mid-0s. Corrected annual totals are 0 to 0% higher than measured values due to the gauge undercatch due to many factors (wind speed, gauge shielding and exposure to wind, temperature, observation routine, number of blowing snow events, etc. Do Not Cite or Quote - Total pages:

First-Order Draft Chapter 3 IPCC WG1 Fourth Assessment Report

First-Order Draft Chapter 3 IPCC WG1 Fourth Assessment Report 0 Figure... Estimates of linear trends in significant wave height (cm decade - ) for the regions along the major ship routes for the global ocean for the period 0 00. Trends are shown only for the locations

More information

The Atmospheric Circulation

The Atmospheric Circulation The Atmospheric Circulation Vertical structure of the Atmosphere http://www.uwsp.edu/geo/faculty/ritter/geog101/textbook/atmosphere/atmospheric_structure.html The global heat engine [courtesy Kevin Trenberth,

More information

Second-Order Draft Chapter 10 IPCC WG1 Fourth Assessment Report

Second-Order Draft Chapter 10 IPCC WG1 Fourth Assessment Report Second-Order Draft Chapter IPCC WG Fourth Assessment Report Figure... Multi model mean changes in a) zonal mean cloud fraction (in %), shown as a cross section though the atmosphere, and b) total cloud

More information

Observations: Surface and Atmospheric Climate Change

Observations: Surface and Atmospheric Climate Change 3 Observations: Surface and Atmospheric Climate Change Coordinating Lead Authors: Kevin E. Trenberth (USA), Philip D. Jones (UK) Lead Authors: Peter Ambenje (Kenya), Roxana Bojariu (Romania), David Easterling

More information

CHAPTER 2 DATA AND METHODS. Errors using inadequate data are much less than those using no data at all. Charles Babbage, circa 1850

CHAPTER 2 DATA AND METHODS. Errors using inadequate data are much less than those using no data at all. Charles Babbage, circa 1850 CHAPTER 2 DATA AND METHODS Errors using inadequate data are much less than those using no data at all. Charles Babbage, circa 185 2.1 Datasets 2.1.1 OLR The primary data used in this study are the outgoing

More information

Inter-comparison of Historical Sea Surface Temperature Datasets

Inter-comparison of Historical Sea Surface Temperature Datasets Inter-comparison of Historical Sea Surface Temperature Datasets Sayaka Yasunaka 1, Kimio Hanawa 2 1 Center for Climate System Research, University of Tokyo, Japan 2 Graduate School of Science, Tohoku University,

More information

The North Atlantic Oscillation: Climatic Significance and Environmental Impact

The North Atlantic Oscillation: Climatic Significance and Environmental Impact 1 The North Atlantic Oscillation: Climatic Significance and Environmental Impact James W. Hurrell National Center for Atmospheric Research Climate and Global Dynamics Division, Climate Analysis Section

More information

Observed Climate Variability and Change: Evidence and Issues Related to Uncertainty

Observed Climate Variability and Change: Evidence and Issues Related to Uncertainty Observed Climate Variability and Change: Evidence and Issues Related to Uncertainty David R. Easterling National Climatic Data Center Asheville, North Carolina Overview Some examples of observed climate

More information

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 5 August 2013

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 5 August 2013 ENSO Cycle: Recent Evolution, Current Status and Predictions Update prepared by Climate Prediction Center / NCEP 5 August 2013 Outline Overview Recent Evolution and Current Conditions Oceanic Niño Index

More information

Mozambique. General Climate. UNDP Climate Change Country Profiles. C. McSweeney 1, M. New 1,2 and G. Lizcano 1

Mozambique. General Climate. UNDP Climate Change Country Profiles. C. McSweeney 1, M. New 1,2 and G. Lizcano 1 UNDP Climate Change Country Profiles Mozambique C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2.Tyndall Centre for Climate Change Research http://country-profiles.geog.ox.ac.uk

More information

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 11 November 2013

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 11 November 2013 ENSO Cycle: Recent Evolution, Current Status and Predictions Update prepared by Climate Prediction Center / NCEP 11 November 2013 Outline Overview Recent Evolution and Current Conditions Oceanic Niño Index

More information

ATMOSPHERIC MODELLING. GEOG/ENST 3331 Lecture 9 Ahrens: Chapter 13; A&B: Chapters 12 and 13

ATMOSPHERIC MODELLING. GEOG/ENST 3331 Lecture 9 Ahrens: Chapter 13; A&B: Chapters 12 and 13 ATMOSPHERIC MODELLING GEOG/ENST 3331 Lecture 9 Ahrens: Chapter 13; A&B: Chapters 12 and 13 Agenda for February 3 Assignment 3: Due on Friday Lecture Outline Numerical modelling Long-range forecasts Oscillations

More information

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 25 February 2013

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 25 February 2013 ENSO Cycle: Recent Evolution, Current Status and Predictions Update prepared by Climate Prediction Center / NCEP 25 February 2013 Outline Overview Recent Evolution and Current Conditions Oceanic Niño Index

More information

Will a warmer world change Queensland s rainfall?

Will a warmer world change Queensland s rainfall? Will a warmer world change Queensland s rainfall? Nicholas P. Klingaman National Centre for Atmospheric Science-Climate Walker Institute for Climate System Research University of Reading The Walker-QCCCE

More information

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 15 July 2013

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 15 July 2013 ENSO Cycle: Recent Evolution, Current Status and Predictions Update prepared by Climate Prediction Center / NCEP 15 July 2013 Outline Overview Recent Evolution and Current Conditions Oceanic Niño Index

More information

An Assessment of Contemporary Global Reanalyses in the Polar Regions

An Assessment of Contemporary Global Reanalyses in the Polar Regions An Assessment of Contemporary Global Reanalyses in the Polar Regions David H. Bromwich Polar Meteorology Group, Byrd Polar Research Center and Atmospheric Sciences Program, Department of Geography The

More information

Climate Change 2007: The Physical Science Basis

Climate Change 2007: The Physical Science Basis Climate Change 2007: The Physical Science Basis Working Group I Contribution to the IPCC Fourth Assessment Report Presented by R.K. Pachauri, IPCC Chair and Bubu Jallow, WG 1 Vice Chair Nairobi, 6 February

More information

COMPOSITE ANALYSIS OF EL NINO SOUTHERN OSCILLATION EVENTS ON ANTARCTICA

COMPOSITE ANALYSIS OF EL NINO SOUTHERN OSCILLATION EVENTS ON ANTARCTICA COMPOSITE ANALYSIS OF EL NINO SOUTHERN OSCILLATION EVENTS ON ANTARCTICA Lee Welhouse 2*, Matthew Lazzara 2,3, Matt Hitchman 1 Linda Keller 1, Greg Tripoli 1 1 University of Wisconsin-Madison, Department

More information

Inter-comparison of Historical Sea Surface Temperature Datasets. Yasunaka, Sayaka (CCSR, Univ. of Tokyo, Japan) Kimio Hanawa (Tohoku Univ.

Inter-comparison of Historical Sea Surface Temperature Datasets. Yasunaka, Sayaka (CCSR, Univ. of Tokyo, Japan) Kimio Hanawa (Tohoku Univ. Inter-comparison of Historical Sea Surface Temperature Datasets Yasunaka, Sayaka (CCSR, Univ. of Tokyo, Japan) Kimio Hanawa (Tohoku Univ., Japan) < Background > Sea surface temperature (SST) is the observational

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION doi:10.1038/nature11576 1. Trend patterns of SST and near-surface air temperature Bucket SST and NMAT have a similar trend pattern particularly in the equatorial Indo- Pacific (Fig. S1), featuring a reduced

More information

Interdecadal and Interannnual Variabilities of the Antarctic Oscillation Simulated by CAM3

Interdecadal and Interannnual Variabilities of the Antarctic Oscillation Simulated by CAM3 ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2014, VOL. 7, NO. 6, 515 520 Interdecadal and Interannnual Variabilities of the Antarctic Oscillation Simulated by CAM3 XUE Feng 1, SUN Dan 2,3, and ZHOU Tian-Jun

More information

Impacts of modes of climate variability, monsoons, ENSO, annular modes

Impacts of modes of climate variability, monsoons, ENSO, annular modes Impacts of modes of climate variability, monsoons, ENSO, annular modes Iracema Fonseca de Albuquerque Cavalcanti National Institute for Space Research INPE Modes of variability- preferred patterns of variability.

More information

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 24 September 2012

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 24 September 2012 ENSO Cycle: Recent Evolution, Current Status and Predictions Update prepared by Climate Prediction Center / NCEP 24 September 2012 Outline Overview Recent Evolution and Current Conditions Oceanic Niño

More information

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 23 April 2012

ENSO Cycle: Recent Evolution, Current Status and Predictions. Update prepared by Climate Prediction Center / NCEP 23 April 2012 ENSO Cycle: Recent Evolution, Current Status and Predictions Update prepared by Climate Prediction Center / NCEP 23 April 2012 Outline Overview Recent Evolution and Current Conditions Oceanic Niño Index

More information

The Formation of Precipitation Anomaly Patterns during the Developing and Decaying Phases of ENSO

The Formation of Precipitation Anomaly Patterns during the Developing and Decaying Phases of ENSO ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2010, VOL. 3, NO. 1, 25 30 The Formation of Precipitation Anomaly Patterns during the Developing and Decaying Phases of ENSO HU Kai-Ming and HUANG Gang State Key

More information

!"#$%&' A Study of Upper Air Temperature Change ==== N==!"#$%&'() !"#$% ADVANCES IN CLIMATE CHANGE RESEARCH

!#$%&' A Study of Upper Air Temperature Change ==== N==!#$%&'() !#$% ADVANCES IN CLIMATE CHANGE RESEARCH ==== www.climatechange.cn O = R OMMS V!"#$% ADVANCES IN CLIMATE CHANGE RESEARCH Vol.2, No.5 September, 2006!"1673-1719 (2006) 05-0228-05!"#$%&' A Study of Upper Air Temperature Change!!"#$ %!&'( NMMMUN

More information

Introduction of Seasonal Forecast Guidance. TCC Training Seminar on Seasonal Prediction Products November 2013

Introduction of Seasonal Forecast Guidance. TCC Training Seminar on Seasonal Prediction Products November 2013 Introduction of Seasonal Forecast Guidance TCC Training Seminar on Seasonal Prediction Products 11-15 November 2013 1 Outline 1. Introduction 2. Regression method Single/Multi regression model Selection

More information

Delayed Response of the Extratropical Northern Atmosphere to ENSO: A Revisit *

Delayed Response of the Extratropical Northern Atmosphere to ENSO: A Revisit * Delayed Response of the Extratropical Northern Atmosphere to ENSO: A Revisit * Ruping Mo Pacific Storm Prediction Centre, Environment Canada, Vancouver, BC, Canada Corresponding author s address: Ruping

More information

P2.11 DOES THE ANTARCTIC OSCILLATION MODULATE TROPICAL CYCLONE ACTIVITY IN THE NORTHWESTERN PACIFIC

P2.11 DOES THE ANTARCTIC OSCILLATION MODULATE TROPICAL CYCLONE ACTIVITY IN THE NORTHWESTERN PACIFIC P2.11 DOES THE ANTARCTIC OSCILLATION MODULATE TROPICAL CYCLONE ACTIVITY IN THE NORTHWESTERN PACIFIC Joo-Hong Kim*, Chang-Hoi Ho School of Earth and Environmental Sciences, Seoul National University, Korea

More information

Predictability and prediction of the North Atlantic Oscillation

Predictability and prediction of the North Atlantic Oscillation Predictability and prediction of the North Atlantic Oscillation Hai Lin Meteorological Research Division, Environment Canada Acknowledgements: Gilbert Brunet, Jacques Derome ECMWF Seminar 2010 September

More information

ENSO: Recent Evolution, Current Status and Predictions. Update prepared by: Climate Prediction Center / NCEP 9 November 2015

ENSO: Recent Evolution, Current Status and Predictions. Update prepared by: Climate Prediction Center / NCEP 9 November 2015 ENSO: Recent Evolution, Current Status and Predictions Update prepared by: Climate Prediction Center / NCEP 9 November 2015 Outline Summary Recent Evolution and Current Conditions Oceanic Niño Index (ONI)

More information

Modeling the Arctic Climate System

Modeling the Arctic Climate System Modeling the Arctic Climate System General model types Single-column models: Processes in a single column Land Surface Models (LSMs): Interactions between the land surface, atmosphere and underlying surface

More information

Supplementary Material for. Atmospheric and Oceanic Origins of Tropical Precipitation Variability

Supplementary Material for. Atmospheric and Oceanic Origins of Tropical Precipitation Variability 1 2 Supplementary Material for Atmospheric and Oceanic Origins of Tropical Precipitation Variability 3 4 Jie He 1, Clara Deser 2 & Brian J. Soden 3 5 6 7 8 9 10 11 1. Princeton University, and NOAA/Geophysical

More information

Antarctic sea-ice expansion between 2000 and 2014 driven by tropical Pacific decadal climate variability

Antarctic sea-ice expansion between 2000 and 2014 driven by tropical Pacific decadal climate variability Antarctic sea-ice expansion between 2000 and 2014 driven by tropical Pacific decadal climate variability Gerald A. Meehl 1, Julie M. Arblaster 1,2, Cecilia M. Bitz 3, Christine T.Y. Chung 4, and Haiyan

More information

GPC Exeter forecast for winter Crown copyright Met Office

GPC Exeter forecast for winter Crown copyright Met Office GPC Exeter forecast for winter 2015-2016 Global Seasonal Forecast System version 5 (GloSea5) ensemble prediction system the source for Met Office monthly and seasonal forecasts uses a coupled model (atmosphere

More information

Zambia. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. C. McSweeney 1, M. New 1,2 and G.

Zambia. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. C. McSweeney 1, M. New 1,2 and G. UNDP Climate Change Country Profiles Zambia C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2. Tyndall Centre for Climate Change Research http://country-profiles.geog.ox.ac.uk

More information

Human influence on terrestrial precipitation trends revealed by dynamical

Human influence on terrestrial precipitation trends revealed by dynamical 1 2 3 Supplemental Information for Human influence on terrestrial precipitation trends revealed by dynamical adjustment 4 Ruixia Guo 1,2, Clara Deser 1,*, Laurent Terray 3 and Flavio Lehner 1 5 6 7 1 Climate

More information

The Arctic Energy Budget

The Arctic Energy Budget The Arctic Energy Budget The global heat engine [courtesy Kevin Trenberth, NCAR]. Differential solar heating between low and high latitudes gives rise to a circulation of the atmosphere and ocean that

More information

Bias correction of global daily rain gauge measurements

Bias correction of global daily rain gauge measurements Bias correction of global daily rain gauge measurements M. Ungersböck 1,F.Rubel 1,T.Fuchs 2,andB.Rudolf 2 1 Working Group Biometeorology, University of Veterinary Medicine Vienna 2 Global Precipitation

More information

ENSO: Recent Evolution, Current Status and Predictions. Update prepared by: Climate Prediction Center / NCEP 30 October 2017

ENSO: Recent Evolution, Current Status and Predictions. Update prepared by: Climate Prediction Center / NCEP 30 October 2017 ENSO: Recent Evolution, Current Status and Predictions Update prepared by: Climate Prediction Center / NCEP 30 October 2017 Outline Summary Recent Evolution and Current Conditions Oceanic Niño Index (ONI)

More information

Impact of Eurasian spring snow decrement on East Asian summer precipitation

Impact of Eurasian spring snow decrement on East Asian summer precipitation Impact of Eurasian spring snow decrement on East Asian summer precipitation Renhe Zhang 1,2 Ruonan Zhang 2 Zhiyan Zuo 2 1 Institute of Atmospheric Sciences, Fudan University 2 Chinese Academy of Meteorological

More information

High-Resolution MPAS Simulations for Analysis of Climate Change Effects on Weather Extremes

High-Resolution MPAS Simulations for Analysis of Climate Change Effects on Weather Extremes High-Resolution MPAS Simulations for Analysis of Climate Change Effects on Weather Extremes ALLISON MICHAELIS, GARY LACKMANN, & WALT ROBINSON Department of Marine, Earth, and Atmospheric Sciences, North

More information

Antarctic atmospheric temperature trend patterns from satellite observations

Antarctic atmospheric temperature trend patterns from satellite observations Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L12703, doi:10.1029/2006gl029108, 2007 Antarctic atmospheric temperature trend patterns from satellite observations Celeste M. Johanson

More information

Malawi. General Climate. UNDP Climate Change Country Profiles. C. McSweeney 1, M. New 1,2 and G. Lizcano 1

Malawi. General Climate. UNDP Climate Change Country Profiles. C. McSweeney 1, M. New 1,2 and G. Lizcano 1 UNDP Climate Change Country Profiles Malawi C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2. Tyndall Centre for Climate Change Research http://country-profiles.geog.ox.ac.uk

More information

St Lucia. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. Precipitation

St Lucia. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. Precipitation UNDP Climate Change Country Profiles St Lucia C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2. Tyndall Centre for Climate Change Research http://country-profiles.geog.ox.ac.uk

More information

Current and future climate of the Cook Islands. Pacific-Australia Climate Change Science and Adaptation Planning Program

Current and future climate of the Cook Islands. Pacific-Australia Climate Change Science and Adaptation Planning Program Pacific-Australia Climate Change Science and Adaptation Planning Program Penrhyn Pukapuka Nassau Suwarrow Rakahanga Manihiki N o r t h e r n C o o k I s l a nds S o u t h e Palmerston r n C o o k I s l

More information

J3.3 DECADAL VARIABILITY OF THE ENSO TELECONNECTION TO THE SOUTH PACIFIC GOVERNED BY COUPLING WITH THE ANTARCTIC OSCILLATION

J3.3 DECADAL VARIABILITY OF THE ENSO TELECONNECTION TO THE SOUTH PACIFIC GOVERNED BY COUPLING WITH THE ANTARCTIC OSCILLATION J3.3 DECADAL VARIABILITY OF THE ENSO TELECONNECTION TO THE SOUTH PACIFIC GOVERNED BY COUPLING WITH THE ANTARCTIC OSCILLATION Ryan L. Fogt 1,2 and David H. Bromwich 1,2 1 Polar Meteorology Group, Byrd Polar

More information

3. Climate Change. 3.1 Observations 3.2 Theory of Climate Change 3.3 Climate Change Prediction 3.4 The IPCC Process

3. Climate Change. 3.1 Observations 3.2 Theory of Climate Change 3.3 Climate Change Prediction 3.4 The IPCC Process 3. Climate Change 3.1 Observations 3.2 Theory of Climate Change 3.3 Climate Change Prediction 3.4 The IPCC Process 3.1 Observations Need to consider: Instrumental climate record of the last century or

More information

4C.4 TRENDS IN LARGE-SCALE CIRCULATIONS AND THERMODYNAMIC STRUCTURES IN THE TROPICS DERIVED FROM ATMOSPHERIC REANALYSES AND CLIMATE CHANGE EXPERIMENTS

4C.4 TRENDS IN LARGE-SCALE CIRCULATIONS AND THERMODYNAMIC STRUCTURES IN THE TROPICS DERIVED FROM ATMOSPHERIC REANALYSES AND CLIMATE CHANGE EXPERIMENTS 4C.4 TRENDS IN LARGE-SCALE CIRCULATIONS AND THERMODYNAMIC STRUCTURES IN THE TROPICS DERIVED FROM ATMOSPHERIC REANALYSES AND CLIMATE CHANGE EXPERIMENTS Junichi Tsutsui Central Research Institute of Electric

More information

Global Climate Patterns and Their Impacts on North American Weather

Global Climate Patterns and Their Impacts on North American Weather Global Climate Patterns and Their Impacts on North American Weather By Julie Malmberg and Jessica Lowrey, Western Water Assessment Introduction This article provides a broad overview of various climate

More information

Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data

Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 35, L18707, doi:10.1029/2008gl035143, 2008 Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded

More information

Effect of anomalous warming in the central Pacific on the Australian monsoon

Effect of anomalous warming in the central Pacific on the Australian monsoon Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L12704, doi:10.1029/2009gl038416, 2009 Effect of anomalous warming in the central Pacific on the Australian monsoon A. S. Taschetto, 1

More information

Comparison of Global Mean Temperature Series

Comparison of Global Mean Temperature Series ADVANCES IN CLIMATE CHANGE RESEARCH 2(4): 187 192, 2011 www.climatechange.cn DOI: 10.3724/SP.J.1248.2011.00187 REVIEW Comparison of Global Mean Temperature Series Xinyu Wen 1,2, Guoli Tang 3, Shaowu Wang

More information

Climate model simulations of the observed early-2000s hiatus of global warming

Climate model simulations of the observed early-2000s hiatus of global warming Climate model simulations of the observed early-2000s hiatus of global warming Gerald A. Meehl 1, Haiyan Teng 1, and Julie M. Arblaster 1,2 1. National Center for Atmospheric Research, Boulder, CO 2. CAWCR,

More information

Characteristics of Global Precipitable Water Revealed by COSMIC Measurements

Characteristics of Global Precipitable Water Revealed by COSMIC Measurements Characteristics of Global Precipitable Water Revealed by COSMIC Measurements Ching-Yuang Huang 1,2, Wen-Hsin Teng 1, Shu-Peng Ho 3, Ying-Hwa Kuo 3, and Xin-Jia Zhou 3 1 Department of Atmospheric Sciences,

More information

What Measures Can Be Taken To Improve The Understanding Of Observed Changes?

What Measures Can Be Taken To Improve The Understanding Of Observed Changes? What Measures Can Be Taken To Improve The Understanding Of Observed Changes? Convening Lead Author: Roger Pielke Sr. (Colorado State University) Lead Author: David Parker (U.K. Met Office) Lead Author:

More information

Chapter outline. Reference 12/13/2016

Chapter outline. Reference 12/13/2016 Chapter 2. observation CC EST 5103 Climate Change Science Rezaul Karim Environmental Science & Technology Jessore University of science & Technology Chapter outline Temperature in the instrumental record

More information

Antigua and Barbuda. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature

Antigua and Barbuda. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature UNDP Climate Change Country Profiles Antigua and Barbuda C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2. Tyndall Centre for Climate Change Research

More information

The Dynamical Simulation of the Community Atmosphere Model Version 3 (CAM3)

The Dynamical Simulation of the Community Atmosphere Model Version 3 (CAM3) The Dynamical Simulation of the Community Atmosphere Model Version 3 (CAM3) James W. Hurrell*, James J. Hack, Adam Phillips, Julie Caron, and Jeffrey Yin National Center for Atmospheric Research, Boulder,

More information

Trends in Climate Teleconnections and Effects on the Midwest

Trends in Climate Teleconnections and Effects on the Midwest Trends in Climate Teleconnections and Effects on the Midwest Don Wuebbles Zachary Zobel Department of Atmospheric Sciences University of Illinois, Urbana November 11, 2015 Date Name of Meeting 1 Arctic

More information

Cuba. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. C. McSweeney 1, M. New 1,2 and G.

Cuba. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. C. McSweeney 1, M. New 1,2 and G. UNDP Climate Change Country Profiles Cuba C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2. Tyndall Centre for Climate Change Research http://country-profiles.geog.ox.ac.uk

More information

The ENSO s Effect on Eastern China Rainfall in the Following Early Summer

The ENSO s Effect on Eastern China Rainfall in the Following Early Summer ADVANCES IN ATMOSPHERIC SCIENCES, VOL. 26, NO. 2, 2009, 333 342 The ENSO s Effect on Eastern China Rainfall in the Following Early Summer LIN Zhongda ( ) andluriyu( F ) Center for Monsoon System Research,

More information

The Australian Summer Monsoon

The Australian Summer Monsoon The Australian Summer Monsoon Aurel Moise, Josephine Brown, Huqiang Zhang, Matt Wheeler and Rob Colman Australian Bureau of Meteorology Presentation to WMO IWM-IV, Singapore, November 2017 Outline Australian

More information

NOTES AND CORRESPONDENCE. El Niño Southern Oscillation and North Atlantic Oscillation Control of Climate in Puerto Rico

NOTES AND CORRESPONDENCE. El Niño Southern Oscillation and North Atlantic Oscillation Control of Climate in Puerto Rico 2713 NOTES AND CORRESPONDENCE El Niño Southern Oscillation and North Atlantic Oscillation Control of Climate in Puerto Rico BJÖRN A. MALMGREN Department of Earth Sciences, University of Göteborg, Goteborg,

More information

Long-Term Trend and Decadal Variability of Persistence of Daily 500-mb Geopotential Height Anomalies during Boreal Winter

Long-Term Trend and Decadal Variability of Persistence of Daily 500-mb Geopotential Height Anomalies during Boreal Winter OCTOBER 2009 D I N G A N D L I 3519 Long-Term Trend and Decadal Variability of Persistence of Daily 500-mb Geopotential Height Anomalies during Boreal Winter RUIQIANG DING AND JIANPING LI State Key Laboratory

More information

Grenada. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. Precipitation

Grenada. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. Precipitation UNDP Climate Change Country Profiles C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2. Tyndall Centre for Climate Change Research http://country-profiles.geog.ox.ac.uk

More information

Climate Feedbacks from ERBE Data

Climate Feedbacks from ERBE Data Climate Feedbacks from ERBE Data Why Is Lindzen and Choi (2009) Criticized? Zhiyu Wang Department of Atmospheric Sciences University of Utah March 9, 2010 / Earth Climate System Outline 1 Introduction

More information

ENSO Outlook by JMA. Hiroyuki Sugimoto. El Niño Monitoring and Prediction Group Climate Prediction Division Japan Meteorological Agency

ENSO Outlook by JMA. Hiroyuki Sugimoto. El Niño Monitoring and Prediction Group Climate Prediction Division Japan Meteorological Agency ENSO Outlook by JMA Hiroyuki Sugimoto El Niño Monitoring and Prediction Group Climate Prediction Division Outline 1. ENSO impacts on the climate 2. Current Conditions 3. Prediction by JMA/MRI-CGCM 4. Summary

More information

Maximum and minimum temperature trends for the globe: An update through 2004

Maximum and minimum temperature trends for the globe: An update through 2004 GEOPHYSICAL RESEARCH LETTERS, VOL. 32, L23822, doi:10.1029/2005gl024379, 2005 Maximum and minimum temperature trends for the globe: An update through 2004 Russell S. Vose, David R. Easterling, and Byron

More information

TROPICAL-EXTRATROPICAL INTERACTIONS

TROPICAL-EXTRATROPICAL INTERACTIONS Notes of the tutorial lectures for the Natural Sciences part by Alice Grimm Fourth lecture TROPICAL-EXTRATROPICAL INTERACTIONS Anomalous tropical SST Anomalous convection Anomalous latent heat source Anomalous

More information

Connecting tropics and extra-tropics: interaction of physical and dynamical processes in atmospheric teleconnections

Connecting tropics and extra-tropics: interaction of physical and dynamical processes in atmospheric teleconnections Connecting tropics and extra-tropics: interaction of physical and dynamical processes in atmospheric teleconnections Franco Molteni, Tim Stockdale, Laura Ferranti European Centre for Medium-Range Weather

More information

Pacific Storm Track at Different Horizontal Resolutions Snap-shot of Column Liquid Water Content

Pacific Storm Track at Different Horizontal Resolutions Snap-shot of Column Liquid Water Content Color Plates Pacific Storm Track at Different Horizontal Resolutions Snap-shot of Column Liquid Water Content Fig. 2.8 A snapshot of the cyclone frontal-system by a nonhydrostatic model run with two very

More information

MLOST MLOST MLOST Upper Air Temperature Advances in Multi-Decadal Observational Records

MLOST MLOST MLOST Upper Air Temperature Advances in Multi-Decadal Observational Records Chapter Observations: Atmosphere and Surface MLOST 1911-194 MLOST 1951-198 MLOST 1981-1 -1.5-1 -.8 -.6 -.5 -.3 -. -.1.1..3.4.5.6.8 1 1.5 Trend ( C per decade) Figure. Trends in surface temperature from

More information

Recent Developments in Climate Information Services at JMA. Koichi Kurihara Climate Prediction Division, Japan Meteorological Agency

Recent Developments in Climate Information Services at JMA. Koichi Kurihara Climate Prediction Division, Japan Meteorological Agency Recent Developments in Climate Information Services at JMA Koichi Kurihara Climate Prediction Division, Japan Meteorological Agency 1 Topics 1. Diagnosis of the Northern Hemispheric circulation in December

More information

The Arctic Ocean's response to the NAM

The Arctic Ocean's response to the NAM The Arctic Ocean's response to the NAM Gerd Krahmann and Martin Visbeck Lamont-Doherty Earth Observatory of Columbia University RT 9W, Palisades, NY 10964, USA Abstract The sea ice response of the Arctic

More information

Vertical Coupling in Climate

Vertical Coupling in Climate Vertical Coupling in Climate Thomas Reichler (U. of Utah) NAM Polar cap averaged geopotential height anomalies height time Observations Reichler et al. (2012) SSWs seem to cluster Low-frequency power Vortex

More information

Introduction to Climate ~ Part I ~

Introduction to Climate ~ Part I ~ 2015/11/16 TCC Seminar JMA Introduction to Climate ~ Part I ~ Shuhei MAEDA (MRI/JMA) Climate Research Department Meteorological Research Institute (MRI/JMA) 1 Outline of the lecture 1. Climate System (

More information

The Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height

The Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2015, VOL. 8, NO. 6, 371 375 The Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height HUANG Yan-Yan and

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION Intensification of Northern Hemisphere Subtropical Highs in a Warming Climate Wenhong Li, Laifang Li, Mingfang Ting, and Yimin Liu 1. Data and Methods The data used in this study consists of the atmospheric

More information

NOTES AND CORRESPONDENCE. On the Seasonality of the Hadley Cell

NOTES AND CORRESPONDENCE. On the Seasonality of the Hadley Cell 1522 JOURNAL OF THE ATMOSPHERIC SCIENCES VOLUME 60 NOTES AND CORRESPONDENCE On the Seasonality of the Hadley Cell IOANA M. DIMA AND JOHN M. WALLACE Department of Atmospheric Sciences, University of Washington,

More information

Homogenization of the global radiosonde temperature and wind dataset using innovation statistics from reanalyses

Homogenization of the global radiosonde temperature and wind dataset using innovation statistics from reanalyses Homogenization of the global radiosonde temperature and wind dataset using innovation statistics from reanalyses Leopold Haimberger 1, Christine Gruber 1, Stefan Sperka 1 and Christina Tavolato 2 1 Department

More information

The role of teleconnections in extreme (high and low) precipitation events: The case of the Mediterranean region

The role of teleconnections in extreme (high and low) precipitation events: The case of the Mediterranean region European Geosciences Union General Assembly 2013 Vienna, Austria, 7 12 April 2013 Session HS7.5/NP8.4: Hydroclimatic Stochastics The role of teleconnections in extreme (high and low) events: The case of

More information

2013 ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Cat Response

2013 ATLANTIC HURRICANE SEASON OUTLOOK. June RMS Cat Response 2013 ATLANTIC HURRICANE SEASON OUTLOOK June 2013 - RMS Cat Response Season Outlook At the start of the 2013 Atlantic hurricane season, which officially runs from June 1 to November 30, seasonal forecasts

More information

CHAPTER 1: INTRODUCTION

CHAPTER 1: INTRODUCTION CHAPTER 1: INTRODUCTION There is now unequivocal evidence from direct observations of a warming of the climate system (IPCC, 2007). Despite remaining uncertainties, it is now clear that the upward trend

More information

Possible Roles of Atlantic Circulations on the Weakening Indian Monsoon Rainfall ENSO Relationship

Possible Roles of Atlantic Circulations on the Weakening Indian Monsoon Rainfall ENSO Relationship 2376 JOURNAL OF CLIMATE Possible Roles of Atlantic Circulations on the Weakening Indian Monsoon Rainfall ENSO Relationship C.-P. CHANG, PATRICK HARR, AND JIANHUA JU Department of Meteorology, Naval Postgraduate

More information

Supplement of Vegetation greenness and land carbon-flux anomalies associated with climate variations: a focus on the year 2015

Supplement of Vegetation greenness and land carbon-flux anomalies associated with climate variations: a focus on the year 2015 Supplement of Atmos. Chem. Phys., 17, 13903 13919, 2017 https://doi.org/10.5194/acp-17-13903-2017-supplement Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License.

More information

Bugs in JRA-55 snow depth analysis

Bugs in JRA-55 snow depth analysis 14 December 2015 Climate Prediction Division, Japan Meteorological Agency Bugs in JRA-55 snow depth analysis Bugs were recently found in the snow depth analysis (i.e., the snow depth data generation process)

More information

Spatial and temporal variations of light rain events over China and the mid-high latitudes of the Northern Hemisphere

Spatial and temporal variations of light rain events over China and the mid-high latitudes of the Northern Hemisphere Article SPECIAL ISSUE: Extreme Climate in China April 2013 Vol.58 No.12: 1402 1411 doi: 10.1007/s11434-012-5593-1 Spatial and temporal variations of light rain events over China and the mid-high latitudes

More information

Suriname. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. C. McSweeney 1, M. New 1,2 and G.

Suriname. General Climate. Recent Climate Trends. UNDP Climate Change Country Profiles. Temperature. C. McSweeney 1, M. New 1,2 and G. UNDP Climate Change Country Profiles Suriname C. McSweeney 1, M. New 1,2 and G. Lizcano 1 1. School of Geography and Environment, University of Oxford. 2. Tyndall Centre for Climate Change Research http://country-profiles.geog.ox.ac.uk

More information

DOES EAST EURASIAN SNOW COVER TRIGGER THE NORTHERN ANNULAR MODE?

DOES EAST EURASIAN SNOW COVER TRIGGER THE NORTHERN ANNULAR MODE? DOES EAST EURASIAN SNOW COVER TRIGGER THE NORTHERN ANNULAR MODE? Eun-Jeong Cha and Masahide Kimoto Center for Climate System Research, University of Tokyo 1. Introduction A dominant mode of winter climate

More information

Weather Outlook for Spring and Summer in Central TX. Aaron Treadway Meteorologist National Weather Service Austin/San Antonio

Weather Outlook for Spring and Summer in Central TX. Aaron Treadway Meteorologist National Weather Service Austin/San Antonio Weather Outlook for Spring and Summer in Central TX Aaron Treadway Meteorologist National Weather Service Austin/San Antonio Outline A Look Back At 2014 Spring 2015 So Far El Niño Update Climate Prediction

More information

Attribution of anthropogenic influence on seasonal sea level pressure

Attribution of anthropogenic influence on seasonal sea level pressure Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 36, L23709, doi:10.1029/2009gl041269, 2009 Attribution of anthropogenic influence on seasonal sea level pressure N. P. Gillett 1 and P. A.

More information

Aiguo Dai * and Kevin E. Trenberth National Center for Atmospheric Research (NCAR) $, Boulder, CO. Abstract

Aiguo Dai * and Kevin E. Trenberth National Center for Atmospheric Research (NCAR) $, Boulder, CO. Abstract 9.2 AMS 14 th Symposium on Global Change and Climate Variations, 9-13 Feb. 2003, Long Beach, CA. Diurnal Variations in the Community Climate System Model Aiguo Dai * and Kevin E. Trenberth National Center

More information

lecture 10 El Niño and the Southern Oscillation (ENSO) Part I sea surface height anomalies as measured by satellite altimetry

lecture 10 El Niño and the Southern Oscillation (ENSO) Part I sea surface height anomalies as measured by satellite altimetry lecture 10 El Niño and the Southern Oscillation (ENSO) Part I sea surface height anomalies as measured by satellite altimetry SPATIAL STRUCTURE OF ENSO In 1899, the Indian monsoon failed, leading to drought

More information

The 2009 Hurricane Season Overview

The 2009 Hurricane Season Overview The 2009 Hurricane Season Overview Jae-Kyung Schemm Gerry Bell Climate Prediction Center NOAA/ NWS/ NCEP 1 Overview outline 1. Current status for the Atlantic, Eastern Pacific and Western Pacific basins

More information

High initial time sensitivity of medium range forecasting observed for a stratospheric sudden warming

High initial time sensitivity of medium range forecasting observed for a stratospheric sudden warming GEOPHYSICAL RESEARCH LETTERS, VOL. 37,, doi:10.1029/2010gl044119, 2010 High initial time sensitivity of medium range forecasting observed for a stratospheric sudden warming Yuhji Kuroda 1 Received 27 May

More information

Stratospheric Influences on MSU-Derived Tropospheric Temperature Trends: A Direct Error Analysis

Stratospheric Influences on MSU-Derived Tropospheric Temperature Trends: A Direct Error Analysis 4636 JOURNAL OF CLIMATE Stratospheric Influences on MSU-Derived Tropospheric Temperature Trends: A Direct Error Analysis QIANG FU ANDCELESTE M. JOHANSON Department of Atmospheric Sciences, University of

More information

Rainfall variability over the Indochina peninsula during the Boreal Winter, Part I: Preliminary data analysis

Rainfall variability over the Indochina peninsula during the Boreal Winter, Part I: Preliminary data analysis Rainfall variability over the Indochina peninsula during the Boreal Winter, Part I: Preliminary data analysis Sirapong Sooktawee*, sirapong@deqp.go.th; Atsamon Limsakul, atsamon@deqp.go.th, Environmental

More information

Interannual Variability of the South Atlantic High and rainfall in Southeastern South America during summer months

Interannual Variability of the South Atlantic High and rainfall in Southeastern South America during summer months Interannual Variability of the South Atlantic High and rainfall in Southeastern South America during summer months Inés Camilloni 1, 2, Moira Doyle 1 and Vicente Barros 1, 3 1 Dto. Ciencias de la Atmósfera

More information

Estimation of Tropospheric Temperature Trends from MSU Channels 2 and 4

Estimation of Tropospheric Temperature Trends from MSU Channels 2 and 4 MARCH 2006 S P E N C E R E T A L. 417 Estimation of Tropospheric Temperature Trends from MSU Channels 2 and 4 ROY W. SPENCER, JOHN R. CHRISTY, WILLIAM D. BRASWELL, AND WILLIAM B. NORRIS Earth System Science

More information