Comparing MERRA surface global solar radiation and diffuse radiation against field observations in Shanghai. Reporter: Yue Kun

Size: px
Start display at page:

Download "Comparing MERRA surface global solar radiation and diffuse radiation against field observations in Shanghai. Reporter: Yue Kun"

Transcription

1 Comparing MERRA surface global solar radiation and diffuse radiation against field observations in hanghai Reporter: Yue Kun 1

2 OUTLINE 1 Background and Objectives 2 Materials and Methods 3 Results and Discussions 4 ummary 2

3 Background and Objectives olar radiation at the Earth s surface (surface solar radiation, R) is the ultimate energy source for life on the planet. It must rely on reanalysis to get more continuous spatial and temporal radiation data. Reanalysis have positive biases with observations, to radiation data, the main causes of biases may be light cloud and aerosol. Reanalysis bias errors will affect the application. MERRA is one of reanalysis from NAA. Objective of this is to evaluation MERRA s global solar radiation and diffuse solar radiation against the observations in hanghai, and reduce the errors. 3

4 Materials and Methods Historical data: global solar radiation and diffuse solar radiation hanghai( E N) J/m 2 d MERRA: global solar radiation and diffuse solar radiation 1 4 J/m 2 d MODI data: The MODerate resolution Imaging pectrometer (MODI) instrument is one of the first passive satellite radiometers designed to retrieve aerosols over the land and ocean. The instrument oboard the Terra (EO- AM) in 1999,and aboard Aqua (EO-PM) satellites in 22. The daily level-2 data (Collection 5) at 55 nm from the Terra and Aqua MODI aerosol products (MOD4_L2, MYD4_L2) are applied in this study. Aerosol optical depth () is a measure of the opaqueness of air, and high values of indicate poor visibility. 4

5 Materials and Methods b k m m t e m t m b a k b [1.33cos(36 t / 365)]sin e sc d b Dm D m D D m bdm a b (1 b) m e a m e D (1 a b) Dm 5 [Gu et al.,1999] [Zhao et al.,213]

6 Diffuse Radiation(1 4 J/m 2 *d) Global olar Radiation(1 4 J/m 2 *d) Results and Discussions MERRA Year MERRA Year Daily global solar radiation and diffuse radiation 6

7 Diffuse Radiation(1 4 J/m 2 *d) Global olar Radiation(1 4 J/m 2 *d) Results and Discussions 25 MERRA Year 12 MERRA Year Monthly mean global solar radiation and diffuse radiation 7

8 Diffuse Radiation(1 4 J/m 2 *d) Global olar Radiation(1 4 J/m 2 *d) Results and Discussions MERRA y= *x R 2 =.4378 n=12 y= *x R 2 = n= y=2.416*x Year 8 7 R 2 = n=12 MERRA y=2.654*x R 2 =.1189 n= Year Annual mean global solar radiation and diffuse radiation 8

9 Global olar Radiation of MERRA(1 4 J/m 2 *d) Diffuse olar Radiation of MERRA(1 4 J/m 2 *d) Results and Discussions y=.3889*x R 2 =.3262 n=4655 P< P<.5 y=.7839*x R 2 =.6957 n= Global olar Radiation of (1 4 J/m 2 *d) Diffuse Radiation of (1 4 J/m 2 *d) Comparison of the daily global solar radiation and diffuse radiation 9

10 Model Bias Ratio Model Bias Ratio Relationship between daily clearness index() and daily global solar radiation s model bias ratio( diffuse radiation s model bias ratio) Model Bias Ratio Model Bias Ratio y=-.713*x R 2 =.1443 n= Observed Clearness Index y = 9.8*x 2-9.8*x R 2 =.1211 n=167 P<.1 D k t k t D -1 y=.92941*x R 2 = n= P< P< P< Observed Clearness Index -1.5 y= *x R 2 = n=

11 Global olar Radiation of MERRA(1 4 J/m 2 *d) Comparison of the daily global solar radiation Global olar Radiation of MERRA(1 4 J/m 2 *d) y=.8197*x R 2 =.699 n=167 before y=.86888*x R 2 = n=167 P<.1 P<.1 kt y=.8197*x R 2 =.699 n=167 before y=.75245*x R 2 = n=167 P< P<.1 after Global olar Radiation of (1 4 J/m 2 *d) after Global olar Radiation of (1 4 J/m 2 *d) 11

12 Diffuse Radiation of MERRA(1 4 J/m 2 *d) Diffuse Radiation of MERRA(1 4 J/m 2 *d) Comparison of the daily diffuse radiation y=.48482*x R 2 =.4751 n=167 P<.1 25 y=.48482*x R 2 =.4751 n=167 P<.1 5 before after 2 kt 5 before after P<.1 n=167 R 2 =.4793 y=.8225*x Diffuse olar Radiation of (1 4 J/m 2 *d) P<.1 n=167 R 2 = y=.98749*x Diffuse Radiation of (1 4 J/m 2 *d) 12

13 Global olar Radiation of MERRA(1 4 J/m 2 *d) Global olar Radiation of MERRA(1 4 J/m 2 *d) Comparison of the monthly mean global solar radiation 3 25 before 3 25 before P<.1 n=141 R 2 = y=.9285*x P<.1 n=141 R 2 = y=.9285*x after kt 25 after P< n=141 R 2 = y=.87958*x Global olar Radiation of (1 4 J/m 2 *d) 1 5 P<.1 n=141 R 2 = y=.81581*x Global olar Radiation of (1 4 J/m 2 *d) 13

14 Diffuse Radiation of MERRA(1 4 J/m 2 *d) Diffuse Radiation of MERRA(1 4 J/m 2 *d) Comparison of the monthly mean diffuse radiation y=.61362*x R 2 = n=141 P< y=.61362*x R 2 = n=141 P<.1 5 before y=.92234*x before y=1.756*x R 2 = n=141 P<.1 kt 15 1 R 2 = n=141 P<.1 5 after Diffuse Radiation of (1 4 J/m 2 *d) 5 after 1 2 Diffuse olar Radiation of (1 4 J/m 2 *d) 14

15 Global olar Radiation of MERRA(1 4 J/m 2 *d) Diffuse Radiation of MERRA(1 4 J/m 2 *d) Global olar Radiation of MERRA(1 4 J/m 2 *d) Diffuse Radiation of MERRA(1 4 J/m 2 *d) Comparison of the annual mean global solar radiation y=.58524*x R 2 = n= MERRA before MERRA after P<.1 y=.7419*x R 2 = n= P<.5 y=.29*x R 2 =.392 n=12 n=12 R 2 = MERRA before 6 16 MERRA after Global olar Radiation of (1 4 J/m 2 *d) y=.58524*x R 2 = n=12 k t k t D D 55 y=.22423*x Diffuse Radiation of (1 4 J/m 2 *d) MERRA before MERRA after R 2 = n=12 y=.45826*x MERRA before MERRA after P< Global olar Radiation of (1 4 J/m 2 *d) y=.22423*x R 2 = n=12 y=.64637*x R 2 =.7932 n=12 P< Diffuse Radiation of (1 4 J/m 2 *d) 15

16 Global olar Radiation(1 4 J/m 2 *d) Diffuse Radiation(1 4 J/m 2 *d) Global olar Radiation(1 4 J/m 2 *d) Diffuse Radiation(1 4 J/m 2 *d) Annual mean global solar radiation and diffuse radiation Year MERRA before MERRA after k t k t D MERRA before MERRA after Year MERRA before MERRA after D Year 5 4 MERRA before MERRA after

17 Global olar Radiation(1 4 J/m 2 *d) Diffuse Radiation(1 4 J/m 2 *d) Global olar Radiation(1 4 J/m 2 *d) Diffuse Radiation(1 4 J/m 2 *d) Monthly composite global solar radiation and diffuse radiation MERRA before MERRA after Feb Apr Jun Aug Oct Dec k t k t D MERRA before MERRA after Feb Apr Jun Aug Oct Dec 3 D MERRA before MERRA after Feb Apr Jun Aug Oct Dec MERRA before MERRA after 17 Feb Apr Jun Aug Oct Dec

18 Results and Discussions MERRA Corrected MERRA ME RME R 2 ME RME R 2 Kt Daily Monthly Annual Daily D Monthly D Annual D Daily Monthly Annual Daily D Monthly D Annual D

19 Global olar Radiation of MERRA(1 4 J/m 2 *d) Comparison of the monthly mean global solar radiation( diffuse radiation) without eliminating Diffuse Radiation of MERRA(1 4 J/m 2 *d) y=.78194*x R 2 =.8675 n= R 2 = n=153 y=.91314*x kt y=1.1264*x R 2 =.7641 n= R 2 =.6246 n=141 y=.9951*x Global olar Radiation of (1 4 J/m 2 *d) Diffuse Radiation of (1 4 J/m 2 *d) 19

20 ummary The results showed that the global solar radiation better with clearness index, and of the diffuse radiation with. Correction effect in longer time scale is better than shorter time scale. But data have more default, which will affect the. 2

21 21

Interannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region

Interannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region Yale-NUIST Center on Atmospheric Environment Interannual variation of MODIS NDVI in Lake Taihu and its relation to climate in submerged macrophyte region ZhangZhen 2015.07.10 1 Outline Introduction Data

More information

The MODIS Cloud Data Record

The MODIS Cloud Data Record The MODIS Cloud Data Record Brent C. Maddux 1,2 Steve Platnick 3, Steven A. Ackerman 1 Paul Menzel 1, Kathy Strabala 1, Richard Frey 1, 1 Cooperative Institute for Meteorological Satellite Studies, 2 Department

More information

Interpretation of Polar-orbiting Satellite Observations. Atmospheric Instrumentation

Interpretation of Polar-orbiting Satellite Observations. Atmospheric Instrumentation Interpretation of Polar-orbiting Satellite Observations Outline Polar-Orbiting Observations: Review of Polar-Orbiting Satellite Systems Overview of Currently Active Satellites / Sensors Overview of Sensor

More information

Evaluation of Satellite and Reanalysis Products of Downward Surface Solar Radiation over East Asia

Evaluation of Satellite and Reanalysis Products of Downward Surface Solar Radiation over East Asia International Workshop on Land Use/Cover Changes and Air Pollution in Asia August 4-7th, 2015, Bogor, Indonesia Evaluation of Satellite and Reanalysis Products of Downward Surface Solar Radiation over

More information

Comparison of NASA AIRS and MODIS Land Surface Temperature and Infrared Emissivity Measurements from the EOS AQUA platform

Comparison of NASA AIRS and MODIS Land Surface Temperature and Infrared Emissivity Measurements from the EOS AQUA platform Comparison of NASA AIRS and MODIS Land Surface Temperature and Infrared Emissivity Measurements from the EOS AQUA platform Robert Knuteson, Steve Ackerman, Hank Revercomb, Dave Tobin University of Wisconsin-Madison

More information

GAMINGRE 8/1/ of 7

GAMINGRE 8/1/ of 7 FYE 09/30/92 JULY 92 0.00 254,550.00 0.00 0 0 0 0 0 0 0 0 0 254,550.00 0.00 0.00 0.00 0.00 254,550.00 AUG 10,616,710.31 5,299.95 845,656.83 84,565.68 61,084.86 23,480.82 339,734.73 135,893.89 67,946.95

More information

Satellite-based Lake Surface Temperature (LST) Homa Kheyrollah Pour Claude Duguay

Satellite-based Lake Surface Temperature (LST) Homa Kheyrollah Pour Claude Duguay Satellite-based Lake Surface Temperature (LST) Homa Kheyrollah Pour Claude Duguay Lakes in NWP models Interaction of the atmosphere and underlying layer is the most important issue in climate modeling

More information

Aerosol Retrieved from MODIS: Algorithm, Products, Validation and the Future

Aerosol Retrieved from MODIS: Algorithm, Products, Validation and the Future Aerosol Retrieved from MODIS: Algorithm, Products, Validation and the Future Presented by: Rob Levy Re-presenting NASA-GSFC s MODIS aerosol team: Y. Kaufman, L. Remer, A. Chu,, C. Ichoku,, R. Kleidman,,

More information

Changes in Earth s Albedo Measured by satellite

Changes in Earth s Albedo Measured by satellite Changes in Earth s Albedo Measured by satellite Bruce A. Wielicki, Takmeng Wong, Norman Loeb, Patrick Minnis, Kory Priestley, Robert Kandel Presented by Yunsoo Choi Earth s albedo Earth s albedo The climate

More information

Appendix B. A proposition for updating the environmental standards using real Earth Albedo and Earth IR Flux for Spacecraft Thermal Analysis

Appendix B. A proposition for updating the environmental standards using real Earth Albedo and Earth IR Flux for Spacecraft Thermal Analysis 19 Appendix B A proposition for updating the environmental standards using real Earth Albedo and Earth IR Romain Peyrou-Lauga (ESA/ESTEC, The Netherlands) 31 st European Space Thermal Analysis Workshop

More information

Long-Term Time Series of Water Vapour Total Columns from GOME, SCIAMACHY and GOME-2

Long-Term Time Series of Water Vapour Total Columns from GOME, SCIAMACHY and GOME-2 Graphics: ESA Graphics: ESA Graphics: ESA Long-Term Time Series of Water Vapour Total Columns from GOME, SCIAMACHY and GOME-2 S. Noël, S. Mieruch, H. Bovensmann, J. P. Burrows Institute of Environmental

More information

Regents Earth Science Unit 7: Water Cycle and Climate

Regents Earth Science Unit 7: Water Cycle and Climate Regents Earth Science Unit 7: Water Cycle and Climate Name Section Coastal and Continental Temperature Ranges Lab # Introduction: There are large variations in average monthly temperatures among cities

More information

Analyzing and Visualizing Precipitation and Soil Moisture in ArcGIS

Analyzing and Visualizing Precipitation and Soil Moisture in ArcGIS Analyzing and Visualizing Precipitation and Soil Moisture in ArcGIS Wenli Yang, Pham Long, Peisheng Zhao, Steve Kempler, and Jennifer Wei * NASA Goddard Earth Science Data and Information Services Center

More information

Chapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm

Chapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm Chapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm -Aerosol and tropospheric ozone retrieval method using continuous UV spectra- Atmospheric composition measurements from satellites are

More information

Algorithm for MERIS land surface BRDF/albedo retrieval and its validation using contemporaneous EO data products

Algorithm for MERIS land surface BRDF/albedo retrieval and its validation using contemporaneous EO data products Algorithm for MERIS land surface BRDF/albedo retrieval and its validation using contemporaneous EO data products Jan-Peter Muller* (UCL) Carsten Brockmann, Marco Zühlke, Norman Fomferra (BC) Jürgen Fischer,

More information

Climate Variability in South Asia

Climate Variability in South Asia Climate Variability in South Asia V. Niranjan, M. Dinesh Kumar, and Nitin Bassi Institute for Resource Analysis and Policy Contents Introduction Rainfall variability in South Asia Temporal variability

More information

Introducing NREL s Gridded National Solar Radiation Data Base (NSRDB)

Introducing NREL s Gridded National Solar Radiation Data Base (NSRDB) Introducing NREL s Gridded National Solar Radiation Data Base (NSRDB) Manajit Sengupta Aron Habte, Anthony Lopez, Yu Xi and Andrew Weekley, NREL Christine Molling CIMMS Andrew Heidinger, NOAA International

More information

Simulations of Lake Processes within a Regional Climate Model

Simulations of Lake Processes within a Regional Climate Model Simulations of Lake Processes within a Regional Climate Model Jiming Jin Departments of Watershed Sciences and Plants, Soils, and Climate Utah State University, Logan, Utah Utah State University 850 Faculty

More information

Annual Average NYMEX Strip Comparison 7/03/2017

Annual Average NYMEX Strip Comparison 7/03/2017 Annual Average NYMEX Strip Comparison 7/03/2017 To Year to Year Oil Price Deck ($/bbl) change Year change 7/3/2017 6/1/2017 5/1/2017 4/3/2017 3/1/2017 2/1/2017-2.7% 2017 Average -10.4% 47.52 48.84 49.58

More information

Estimation of ocean contribution at the MODIS near-infrared wavelengths along the east coast of the U.S.: Two case studies

Estimation of ocean contribution at the MODIS near-infrared wavelengths along the east coast of the U.S.: Two case studies GEOPHYSICAL RESEARCH LETTERS, VOL. 32, L13606, doi:10.1029/2005gl022917, 2005 Estimation of ocean contribution at the MODIS near-infrared wavelengths along the east coast of the U.S.: Two case studies

More information

Claude Duguay University of Waterloo

Claude Duguay University of Waterloo Claude Duguay University of Waterloo with contributions from K. Kang and H. Kheyrollah Pour 2nd Annual EarthTemp Network Meeting Surface temperature in data-sparse and extreme regions 12-14 June 2013 Copenhagen,

More information

Outline. The Path of the Sun. Emissivity and Absorptivity. Average Radiation Properties II. Average Radiation Properties

Outline. The Path of the Sun. Emissivity and Absorptivity. Average Radiation Properties II. Average Radiation Properties The Path of the Sun Larry Caretto Mechanical Engineering 83 Alternative Energy Engineering II March, 2 Outline Review radiation properties for solar collectors Orientation of earth and sun Earth-based

More information

A new perspective on aerosol direct radiative effects in South Atlantic and Southern Africa

A new perspective on aerosol direct radiative effects in South Atlantic and Southern Africa A new perspective on aerosol direct radiative effects in South Atlantic and Southern Africa Ian Chang and Sundar A. Christopher Department of Atmospheric Science University of Alabama in Huntsville, U.S.A.

More information

Interannual variability of top-ofatmosphere. CERES instruments

Interannual variability of top-ofatmosphere. CERES instruments Interannual variability of top-ofatmosphere albedo observed by CERES instruments Seiji Kato NASA Langley Research Center Hampton, VA SORCE Science team meeting, Sedona, Arizona, Sep. 13-16, 2011 TOA irradiance

More information

Aquarius Data Release V2.0 Validation Analysis Gary Lagerloef, Aquarius Principal Investigator H. Kao, ESR And Aquarius Cal/Val Team

Aquarius Data Release V2.0 Validation Analysis Gary Lagerloef, Aquarius Principal Investigator H. Kao, ESR And Aquarius Cal/Val Team Aquarius Data Release V2.0 Validation Analysis Gary Lagerloef, Aquarius Principal Investigator H. Kao, ESR And Aquarius Cal/Val Team Analysis period: Sep 2011-Dec 2012 SMOS-Aquarius Workshop 15-17 April

More information

PROJECT REPORT (ASL 720) CLOUD CLASSIFICATION

PROJECT REPORT (ASL 720) CLOUD CLASSIFICATION PROJECT REPORT (ASL 720) CLOUD CLASSIFICATION SUBMITTED BY- PRIYANKA GUPTA 2011CH70177 RINI KAPOOR 2011CH70179 INDIVIDUAL CONTRIBUTION- Priyanka Gupta- analysed data of region considered in India (West:80,

More information

Spatial Variability of Aerosol - Cloud Interactions over Indo - Gangetic Basin (IGB)

Spatial Variability of Aerosol - Cloud Interactions over Indo - Gangetic Basin (IGB) Spatial Variability of Aerosol - Cloud Interactions over Indo - Gangetic Basin (IGB) Shani Tiwari Graduate School of Environmental Studies Nagoya University, Nagoya, Japan Email: pshanitiwari@gmail.com

More information

Aniekan Eyoh 1* Department of Geoinformatics & Surveying, Faculty of Environmental Studies, University of Uyo, Nigeria

Aniekan Eyoh 1* Department of Geoinformatics & Surveying, Faculty of Environmental Studies, University of Uyo, Nigeria Available online at http://euroasiapub.org/journals.php, pp. 53~62 Thomson Reuters Researcher ID: L-5236-2015 TEMPORAL APPRAISAL OF LAND SURFACE TEMPERATURE DYNAMICS ACROSS THE NINE STATES OF NIGER DELTA

More information

GLAS Team Member Quarterly Report

GLAS Team Member Quarterly Report GLAS Team Member Quarterly Report Thomas A. Herring, Katherine J. Quinn, An Nguyen, Monchaya Piboon Massachusetts Institute of Technology Period: 4/1/2002 to 6/30/2002 Options for Estimating Multiple Scattering

More information

SYSTEM BRIEF DAILY SUMMARY

SYSTEM BRIEF DAILY SUMMARY SYSTEM BRIEF DAILY SUMMARY * ANNUAL MaxTemp NEL (MWH) Hr Ending Hr Ending LOAD (PEAK HOURS 7:00 AM TO 10:00 PM MON-SAT) ENERGY (MWH) INCREMENTAL COST DAY DATE Civic TOTAL MAXIMUM @Max MINIMUM @Min FACTOR

More information

Seasonal variability in the vertical attenuation coefficient at 490 nm (K490) in waters around Puerto Rico and US Virgin Islands.

Seasonal variability in the vertical attenuation coefficient at 490 nm (K490) in waters around Puerto Rico and US Virgin Islands. Seasonal variability in the vertical attenuation coefficient at 490 nm (K490) in waters around Puerto Rico and US Virgin Islands. William J. Hernandez 1 and Fernando Gilbes 2 1 Department of Marine Science,

More information

THE SOLAR RESOURCE: PART I MINES ParisTech Center Observation, Impacts, Energy (Tel.: +33 (0) )

THE SOLAR RESOURCE: PART I MINES ParisTech Center Observation, Impacts, Energy (Tel.: +33 (0) ) MASTER REST Solar Resource Part I THE SOLAR RESOURCE: PART I MINES ParisTech Center Observation, Impacts, Energy philippe.blanc@mines-paristech.fr (Tel.: +33 (0)4 93 95 74 04) MASTER REST Solar Resource

More information

On the use of satellite remote sensing to determine direct aerosol radiative effect over land : A case study over China

On the use of satellite remote sensing to determine direct aerosol radiative effect over land : A case study over China On the use of satellite remote sensing to determine direct aerosol radiative effect over land : A case study over China Anu-Maija Sundström, Antti Arola, Pekka Kolmonen, Gerrit de Leeuw, and Markku Kulmala

More information

Spatiotemporal variations of alpine climate, snow cover and phenology

Spatiotemporal variations of alpine climate, snow cover and phenology Spatiotemporal variations of alpine climate, snow cover and phenology S. Asam, M. Callegari, M. Matiu, G. Fiore, L. De Gregorio, A. Jacob, A. Menzel, C. Notarnicola, M. Zebisch Asam et al., Spatiotemporal

More information

SYSTEM BRIEF DAILY SUMMARY

SYSTEM BRIEF DAILY SUMMARY SYSTEM BRIEF DAILY SUMMARY * ANNUAL MaxTemp NEL (MWH) Hr Ending Hr Ending LOAD (PEAK HOURS 7:00 AM TO 10:00 PM MON-SAT) ENERGY (MWH) INCREMENTAL COST DAY DATE Civic TOTAL MAXIMUM @Max MINIMUM @Min FACTOR

More information

Detecting the Red Edge of absorption in Puget Sound from Satellite measured water-leaving radiance

Detecting the Red Edge of absorption in Puget Sound from Satellite measured water-leaving radiance Detecting the Red Edge of absorption in Puget Sound from Satellite measured water-leaving radiance Rachel Halfhill University of Washington School of Oceanography The Pacific Northwest Center for Human

More information

Remote Sensing of Snow GEOG 454 / 654

Remote Sensing of Snow GEOG 454 / 654 Remote Sensing of Snow GEOG 454 / 654 What crysopheric questions can RS help to answer? 2 o Where is snow lying? (Snow-covered area or extent) o How much is there? o How rapidly is it melting? (Area, depth,

More information

Technical note on seasonal adjustment for M0

Technical note on seasonal adjustment for M0 Technical note on seasonal adjustment for M0 July 1, 2013 Contents 1 M0 2 2 Steps in the seasonal adjustment procedure 3 2.1 Pre-adjustment analysis............................... 3 2.2 Seasonal adjustment.................................

More information

Seeking a consistent view of energy and water flows through the climate system

Seeking a consistent view of energy and water flows through the climate system Seeking a consistent view of energy and water flows through the climate system Robert Pincus University of Colorado and NOAA/Earth System Research Lab Atmospheric Energy Balance [Wm -2 ] 340.1±0.1 97-101

More information

Air sea satellite flux datasets and what they do (and don't) tell us about the air sea interface in the Southern Ocean

Air sea satellite flux datasets and what they do (and don't) tell us about the air sea interface in the Southern Ocean Air sea satellite flux datasets and what they do (and don't) tell us about the air sea interface in the Southern Ocean Carol Anne Clayson Woods Hole Oceanographic Institution Southern Ocean Workshop Seattle,

More information

Influence of Clouds and Aerosols on the Earth s Radiation Budget Using Clouds and the Earth s Radiant Energy System (CERES) Measurements

Influence of Clouds and Aerosols on the Earth s Radiation Budget Using Clouds and the Earth s Radiant Energy System (CERES) Measurements Influence of Clouds and Aerosols on the Earth s Radiation Budget Using Clouds and the Earth s Radiant Energy System (CERES) Measurements Norman G. Loeb Hampton University/NASA Langley Research Center Bruce

More information

Supplementary appendix

Supplementary appendix Supplementary appendix This appendix formed part of the original submission and has been peer reviewed. We post it as supplied by the authors. Supplement to: Lowe R, Stewart-Ibarra AM, Petrova D, et al.

More information

Using Airborne High Spectral Resolution Lidar Data to Evaluate Combined Active/Passive Retrievals of Aerosol Extinction Profiles

Using Airborne High Spectral Resolution Lidar Data to Evaluate Combined Active/Passive Retrievals of Aerosol Extinction Profiles Using Airborne High Spectral Resolution Lidar Data to Evaluate Combined Active/Passive Retrievals of Aerosol Extinction Profiles Richard Ferrare, Sharon Burton, Chris Hostetler, John Hair, Anthony Cook,

More information

SCIAMACHY Carbon Monoxide Lessons learned. Jos de Laat, KNMI/SRON

SCIAMACHY Carbon Monoxide Lessons learned. Jos de Laat, KNMI/SRON SCIAMACHY Carbon Monoxide Lessons learned Jos de Laat, KNMI/SRON A.T.J. de Laat 1, A.M.S. Gloudemans 2, I. Aben 2, M. Krol 2,3, J.F. Meirink 4, G. van der Werf 5, H. Schrijver 2, A. Piters 1, M. van Weele

More information

Lectures 7 and 8: 14, 16 Oct Sea Surface Temperature

Lectures 7 and 8: 14, 16 Oct Sea Surface Temperature Lectures 7 and 8: 14, 16 Oct 2008 Sea Surface Temperature References: Martin, S., 2004, An Introduction to Ocean Remote Sensing, Cambridge University Press, 454 pp. Chapter 7. Robinson, I. S., 2004, Measuring

More information

Undergraduate Research Final Report: Estimation of suspended sediments using MODIS 250 m bands in Mayagüez Bay, Puerto Rico

Undergraduate Research Final Report: Estimation of suspended sediments using MODIS 250 m bands in Mayagüez Bay, Puerto Rico Undergraduate Research Final Report: Estimation of suspended sediments using MODIS 250 m bands in Mayagüez Bay, Puerto Rico Abstract: José F. Martínez Colón Undergraduate Research 2007 802-03-4097 Advisor:

More information

An Overview of the Radiation Budget in the Lower Atmosphere

An Overview of the Radiation Budget in the Lower Atmosphere An Overview of the Radiation Budget in the Lower Atmosphere atmospheric extinction irradiance at surface P. Pilewskie 300 University of Colorado Laboratory for Atmospheric and Space Physics Department

More information

Towards a global climatology of cloud microphysical properties and why MODIS does not like sunsets (nor sunrise!)

Towards a global climatology of cloud microphysical properties and why MODIS does not like sunsets (nor sunrise!) Towards a global climatology of cloud microphysical properties and why MODIS does not like sunsets (nor sunrise!) Daniel Grosvenor & Robert Wood (U. Washington) Using scattered solar radiation to infer

More information

CGE TRAINING MATERIALS ON VULNERABILITY AND ADAPTATION ASSESSMENT. Climate change scenarios

CGE TRAINING MATERIALS ON VULNERABILITY AND ADAPTATION ASSESSMENT. Climate change scenarios CGE TRAINING MATERIALS ON VULNERABILITY AND ADAPTATION ASSESSMENT Climate change scenarios Outline Climate change overview Observed climate data Why we use scenarios? Approach to scenario development Climate

More information

Performance and Application of CSPP/IMAPP in East China

Performance and Application of CSPP/IMAPP in East China Performance and Application of CSPP/IMAPP in East China Yan-An Liu 1, Wei Gao 1, Runhe Shi 1, Allen Huang 2, Kathy Strabala 2, Liam Gumley 2 1. East China Normal University 2. University of Wisconsin-Madison

More information

Land data assimilation in the NASA GEOS-5 system: Status and challenges

Land data assimilation in the NASA GEOS-5 system: Status and challenges Blueprints for Next-Generation Data Assimilation Systems Boulder, CO, USA 8-10 March 2016 Land data assimilation in the NASA GEOS-5 system: Status and challenges Rolf Reichle Clara Draper, Ricardo Todling,

More information

TEMPO Aerosols. Need for TEMPO-ABI Synergy

TEMPO Aerosols. Need for TEMPO-ABI Synergy TEMPO Aerosols Need for TEMPO-ABI Synergy Omar Torres, Hiren Jethva, Changwoo Ahn CEOS - 2018 NOAA-College Park May 04, 2018 Use of near UV Satellite Observations for retrieving aerosol properties over

More information

Saharan Dust Induced Radiation-Cloud-Precipitation-Dynamics Interactions

Saharan Dust Induced Radiation-Cloud-Precipitation-Dynamics Interactions Saharan Dust Induced Radiation-Cloud-Precipitation-Dynamics Interactions William K. M. Lau NASA/GSFC Co-authors: K. M. Kim, M. Chin, P. Colarco, A. DaSilva Atmospheric loading of Saharan dust Annual emission

More information

Towards a Bankable Solar Resource

Towards a Bankable Solar Resource Towards a Bankable Solar Resource Adam Kankiewicz WindLogics Inc. SOLAR 2010 Phoenix, Arizona May 20, 2010 Outline NextEra/WindLogics Solar Development Lessons learned TMY - Caveat Emptor Discussion 2

More information

Exemplar for Internal Achievement Standard. Mathematics and Statistics Level 3

Exemplar for Internal Achievement Standard. Mathematics and Statistics Level 3 Exemplar for internal assessment resource Mathematics and Statistics for Achievement Standard 91580 Exemplar for Internal Achievement Standard Mathematics and Statistics Level 3 This exemplar supports

More information

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC This threat overview relies on projections of future climate change in the Mekong Basin for the period 2045-2069 compared to a baseline of 1980-2005.

More information

Remote Sensing I: Basics

Remote Sensing I: Basics Remote Sensing I: Basics Kelly M. Brunt Earth System Science Interdisciplinary Center, University of Maryland Cryospheric Science Laboratory, Goddard Space Flight Center kelly.m.brunt@nasa.gov (Based on

More information

Projects in the Remote Sensing of Aerosols with focus on Air Quality

Projects in the Remote Sensing of Aerosols with focus on Air Quality Projects in the Remote Sensing of Aerosols with focus on Air Quality Faculty Leads Barry Gross (Satellite Remote Sensing), Fred Moshary (Lidar) Direct Supervision Post-Doc Yonghua Wu (Lidar) PhD Student

More information

Primary Production using Ocean Color Remote Sensing. Watson Gregg NASA/Global Modeling and Assimilation Office

Primary Production using Ocean Color Remote Sensing. Watson Gregg NASA/Global Modeling and Assimilation Office Primary Production using Ocean Color Remote Sensing Watson Gregg NASA/Global Modeling and Assimilation Office watson.gregg@nasa.gov Classification of Ocean Color Primary Production Methods Carr, M.-E.,

More information

Tracking On-orbit Radiometric Accuracy and Stability of Suomi NPP VIIRS using Extended Low Latitude SNOs

Tracking On-orbit Radiometric Accuracy and Stability of Suomi NPP VIIRS using Extended Low Latitude SNOs Tracking On-orbit Radiometric Accuracy and Stability of Suomi NPP VIIRS using Extended Low Latitude SNOs Sirish Uprety a Changyong Cao b Slawomir Blonski c Xi Shao c Frank Padula d a CIRA, Colorado State

More information

Characterization of the Present-Day Arctic Atmosphere in CCSM4

Characterization of the Present-Day Arctic Atmosphere in CCSM4 Characterization of the Present-Day Arctic Atmosphere in CCSM4 Gijs de Boer 1, Bill Chapman 2, Jennifer Kay 3, Brian Medeiros 3, Matthew Shupe 4, Steve Vavrus, and John Walsh 6 (1) (2) (3) (4) ESRL ()

More information

SOLAR POWER FORECASTING BASED ON NUMERICAL WEATHER PREDICTION, SATELLITE DATA, AND POWER MEASUREMENTS

SOLAR POWER FORECASTING BASED ON NUMERICAL WEATHER PREDICTION, SATELLITE DATA, AND POWER MEASUREMENTS BASED ON NUMERICAL WEATHER PREDICTION, SATELLITE DATA, AND POWER MEASUREMENTS Detlev Heinemann, Elke Lorenz Energy Meteorology Group, Institute of Physics, Oldenburg University Workshop on Forecasting,

More information

BMKG Research on Air sea interaction modeling for YMC

BMKG Research on Air sea interaction modeling for YMC BMKG Research on Air sea interaction modeling for YMC Prof. Edvin Aldrian Director for Research and Development - BMKG First Scientific and Planning Workshop on Year of Maritime Continent, Singapore 27-3

More information

Ocean front maps for integrating dynamic thermal, colour and salinity features Peter Miller and Weidong Xu

Ocean front maps for integrating dynamic thermal, colour and salinity features Peter Miller and Weidong Xu Ocean front maps for integrating dynamic thermal, colour and salinity features Peter Miller and Weidong Xu 44 th International Liège Colloquium on Ocean Dynamics: Remote sensing of colour, temperature

More information

Spatial bias modeling with application to assessing remotely-sensed aerosol as a proxy for particulate matter

Spatial bias modeling with application to assessing remotely-sensed aerosol as a proxy for particulate matter Spatial bias modeling with application to assessing remotely-sensed aerosol as a proxy for particulate matter Chris Paciorek Department of Biostatistics Harvard School of Public Health application joint

More information

An Overview of Atmospheric Analyses and Reanalyses for Climate

An Overview of Atmospheric Analyses and Reanalyses for Climate An Overview of Atmospheric Analyses and Reanalyses for Climate Kevin E. Trenberth NCAR Boulder CO Analysis Data Assimilation merges observations & model predictions to provide a superior state estimate.

More information

MODIS and VIIRS Reflective Solar Bands Calibration, Performance, and Inter-comparison

MODIS and VIIRS Reflective Solar Bands Calibration, Performance, and Inter-comparison EOS MODIS and VIIRS Reflective Solar Bands Calibration, Performance, and Inter-comparison Jack Xiong 1, Aisheng Wu 1, and Changyong Cao 2 1. NASA/GSFC; 2. NOAA/STAR Other Contributors: NASA MCST and VCST

More information

Microwave Remote Sensing of Soil Moisture. Y.S. Rao CSRE, IIT, Bombay

Microwave Remote Sensing of Soil Moisture. Y.S. Rao CSRE, IIT, Bombay Microwave Remote Sensing of Soil Moisture Y.S. Rao CSRE, IIT, Bombay Soil Moisture (SM) Agriculture Hydrology Meteorology Measurement Techniques Survey of methods for soil moisture determination, Water

More information

An Alternate Algorithm to Evaluate the Reflected Downward Flux Term for a Fast Forward Model

An Alternate Algorithm to Evaluate the Reflected Downward Flux Term for a Fast Forward Model An Alternate Algorithm to Evaluate the Reflected Downward Flux Term for a Fast Forward Model Introduction D.S. Turner Meteorological Service of Canada Downsview, Ontario, Canada In order to assimilate

More information

HEATING THE ATMOSPHERE

HEATING THE ATMOSPHERE HEATING THE ATMOSPHERE Earth and Sun 99.9% of Earth s heat comes from Sun But

More information

Aerosol Optical Properties over South Asia from Ground-Based Observations and Remote Sensing: A Review

Aerosol Optical Properties over South Asia from Ground-Based Observations and Remote Sensing: A Review Climate,, 84-9; doi:.9/cli84 OP ACC climate I 5-54 www.mdpi.com/journal/climate Article Aerosol Optical Properties over outh Asia from Ground-Based Observations and Remote ensing: A Review. Ramachandran,

More information

Satellite-derived environmental drivers for top predator hotspots

Satellite-derived environmental drivers for top predator hotspots Satellite-derived environmental drivers for top predator hotspots Peter Miller @PeterM654 South West Marine Ecosystems 2017 21 Apr. 2017, Plymouth University Satellite environmental drivers for hotspots

More information

Inter-linkage case study in Pakistan

Inter-linkage case study in Pakistan 7 th GEOSS Asia Pacific Symposium GEOSS AWCI Parallel Session: 26-28 May, 2014, Tokyo, Japan Inter-linkage case study in Pakistan Snow and glaciermelt runoff modeling in Upper Indus Basin of Pakistan Maheswor

More information

2003 Water Year Wrap-Up and Look Ahead

2003 Water Year Wrap-Up and Look Ahead 2003 Water Year Wrap-Up and Look Ahead Nolan Doesken Colorado Climate Center Prepared by Odie Bliss http://ccc.atmos.colostate.edu Colorado Average Annual Precipitation Map South Platte Average Precipitation

More information

A perturbed physics ensemble climate modeling. requirements of energy and water cycle. Yong Hu and Bruce Wielicki

A perturbed physics ensemble climate modeling. requirements of energy and water cycle. Yong Hu and Bruce Wielicki A perturbed physics ensemble climate modeling study for defining satellite measurement requirements of energy and water cycle Yong Hu and Bruce Wielicki Motivation 1. Uncertainty of climate sensitivity

More information

The HAMSTRAD Programme at DOME C, Antarctica

The HAMSTRAD Programme at DOME C, Antarctica Acknowledgements: People at DC; Institutions: CNRS/INSU, IPEV, CNES and Ether. The HAMSTRAD Programme at DOME C, Antarctica P. Ricaud, J.-L. Attié, F. Carminati, P. Durand and G. Canut Meteo France/CNRM

More information

Surface Anomalies Prior to Earthquakes

Surface Anomalies Prior to Earthquakes Surface Anomalies Prior to Earthquakes Habibeh Valizadeh, Shattri B. Mansor Husaini Omar and Farid Azad Department of Civil Engineering Universiti Putra Malaysia Serdang, Selangor Malaysia shattri@eng.upm.edu.my

More information

2016 Meteorology Summary

2016 Meteorology Summary 2016 Meteorology Summary New Jersey Department of Environmental Protection AIR POLLUTION AND METEOROLOGY Meteorology plays an important role in the distribution of pollution throughout the troposphere,

More information

Mr. XYZ. Stock Market Trading and Investment Astrology Report. Report Duration: 12 months. Type: Both Stocks and Option. Date: Apr 12, 2011

Mr. XYZ. Stock Market Trading and Investment Astrology Report. Report Duration: 12 months. Type: Both Stocks and Option. Date: Apr 12, 2011 Mr. XYZ Stock Market Trading and Investment Astrology Report Report Duration: 12 months Type: Both Stocks and Option Date: Apr 12, 2011 KT Astrologer Website: http://www.softwareandfinance.com/magazine/astrology/kt_astrologer.php

More information

P6.13 GLOBAL AND MONTHLY DIURNAL PRECIPITATION STATISTICS BASED ON PASSIVE MICROWAVE OBSERVATIONS FROM AMSU

P6.13 GLOBAL AND MONTHLY DIURNAL PRECIPITATION STATISTICS BASED ON PASSIVE MICROWAVE OBSERVATIONS FROM AMSU P6.13 GLOBAL AND MONTHLY DIURNAL PRECIPITATION STATISTICS BASED ON PASSIVE MICROWAVE OBSERVATIONS FROM AMSU Frederick W. Chen*, David H. Staelin, and Chinnawat Surussavadee Massachusetts Institute of Technology,

More information

MODIS-BASED INVESTIGATIONS ON THE URBAN HEAT ISLANDS OF BUCHAREST (ROMANIA) AND PRAGUE (CZECH REPUBLIC)

MODIS-BASED INVESTIGATIONS ON THE URBAN HEAT ISLANDS OF BUCHAREST (ROMANIA) AND PRAGUE (CZECH REPUBLIC) MODIS-BASED INVESTIGATIONS ON THE URBAN HEAT ISLANDS OF BUCHAREST (ROMANIA) AND PRAGUE (CZECH REPUBLIC) Sorin Cheval*, Michal Žák***, Alexandru Dumitrescu*, Vít Květoň** *National Meteorological Administration,

More information

Projeto Temático FAPESP 2013/ Climate Ecosystems Atmospheric Composition

Projeto Temático FAPESP 2013/ Climate Ecosystems Atmospheric Composition Projeto Temático FAPESP 2013/05014-0 Climate Ecosystems Atmospheric Composition GoAmazon2014/15 Experiment Manaus is a city of 2 million people surrounded by just forest in a radius of 1.500 Km. UNIQUE

More information

Time Series Model of Photovoltaic Generation for Distribution Planning Analysis. Jorge Valenzuela

Time Series Model of Photovoltaic Generation for Distribution Planning Analysis. Jorge Valenzuela Time Series Model of Photovoltaic Generation for Distribution Planning Analysis Jorge Valenzuela Overview Introduction: The solar problem and our limitations Modeling What information do we have? Solar

More information

Seasonal Hydrometeorological Ensemble Prediction System: Forecast of Irrigation Potentials in Denmark

Seasonal Hydrometeorological Ensemble Prediction System: Forecast of Irrigation Potentials in Denmark Seasonal Hydrometeorological Ensemble Prediction System: Forecast of Irrigation Potentials in Denmark Diana Lucatero 1*, Henrik Madsen 2, Karsten H. Jensen 1, Jens C. Refsgaard 3, Jacob Kidmose 3 1 University

More information

Potential of profiling floats to enhance NASA s mission

Potential of profiling floats to enhance NASA s mission Potential of profiling floats to enhance NASA s mission Emmanuel Boss University of Maine Outline: What are profiling floats? Studies to date involving optics and profiling floats. Apex float 5. Collaborators:

More information

Variability and trends in daily minimum and maximum temperatures and in diurnal temperature range in Lithuania, Latvia and Estonia

Variability and trends in daily minimum and maximum temperatures and in diurnal temperature range in Lithuania, Latvia and Estonia Variability and trends in daily minimum and maximum temperatures and in diurnal temperature range in Lithuania, Latvia and Estonia Jaak Jaagus Dept. of Geography, University of Tartu Agrita Briede Dept.

More information

9.4. The newly released 5-year Terra-based monthly CERES radiative flux and cloud product. David R. Doelling, D. F. Keyes AS&M, Inc.

9.4. The newly released 5-year Terra-based monthly CERES radiative flux and cloud product. David R. Doelling, D. F. Keyes AS&M, Inc. 9.4 The newly released 5-year Terra-based monthly CERES radiative flux and cloud product David R. Doelling, D. F. Keyes AS&M, Inc., Hampton, VA D. F. Young, B. A. Wielicki, T. Wong NASA Langley Research

More information

Jackson County 2018 Weather Data 67 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center

Jackson County 2018 Weather Data 67 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Jackson County 2018 Weather Data 67 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Doug Mayo Jackson County Extension Director 1952-2008 Rainfall Data

More information

Description of Precipitation Retrieval Algorithm For ADEOS II AMSR

Description of Precipitation Retrieval Algorithm For ADEOS II AMSR Description of Precipitation Retrieval Algorithm For ADEOS II Guosheng Liu Florida State University 1. Basic Concepts of the Algorithm This algorithm is based on Liu and Curry (1992, 1996), in which the

More information

SURFACE ORIENTATIONS AND ENERGY POLICY FOR SOLAR MODULE APPLICATIONS IN DHAKA, BANGLADESH

SURFACE ORIENTATIONS AND ENERGY POLICY FOR SOLAR MODULE APPLICATIONS IN DHAKA, BANGLADESH International Journal of Scientific & Engineering Research, Volume 5, Issue, February-014 83 ISSN 9-5518 SURFACE ORIENTATIONS AND ENERGY POLICY FOR SOLAR MODULE APPLICATIONS IN DHAKA, BANGLADESH 1 Debazit

More information

Pan-Arctic Land and Lake Surface Temperature from AATSR and MODIS: Products Development and Evaluation

Pan-Arctic Land and Lake Surface Temperature from AATSR and MODIS: Products Development and Evaluation Pan-Arctic Land and Lake Surface Temperature from AATSR and MODIS: Products Development and Evaluation Homa Kheyrollah Pour Claude Duguay University of Waterloo 1 st Arctic Products Validation & Evolution

More information

Vicarious calibration of GLI by global datasets. Calibration 5th Group Hiroshi Murakami (JAXA EORC)

Vicarious calibration of GLI by global datasets. Calibration 5th Group Hiroshi Murakami (JAXA EORC) Vicarious calibration of GLI by global datasets Calibration 5th Group Hiroshi Murakami (JAXA EORC) ADEOS-2 PI workshop March 2004 1 0. Contents 1. Background 2. Operation flow 3. Results 4. Temporal change

More information

Solar Cycle 24. Overview of predictions on the start and amplitude of a new solar cycle. Jan Janssens Belgian Solar Section

Solar Cycle 24. Overview of predictions on the start and amplitude of a new solar cycle. Jan Janssens Belgian Solar Section Solar Cycle 24 Overview of predictions on the start and amplitude of a new solar cycle Jan Janssens Belgian Solar Section Summary The coming solar cycle minimum The coming solar cycle maximum Current Conclusions

More information

Jackson County 2014 Weather Data

Jackson County 2014 Weather Data Jackson County 2014 Weather Data 62 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Doug Mayo Jackson County Extension Director 1952-2008 Rainfall Data

More information

ESA Cloud-CCI Phase 1 Results Climate Research Perspective

ESA Cloud-CCI Phase 1 Results Climate Research Perspective ESA Cloud-CCI Phase 1 Results Climate Research Perspective Claudia Stubenrauch Laboratoire de Météorologie Dynamique, France and Cloud-CCI Team Outline Ø Challenges to retrieve cloud properties Ø What

More information

Remote sensing of sea ice

Remote sensing of sea ice Remote sensing of sea ice Ice concentration/extent Age/type Drift Melting Thickness Christian Haas Remote Sensing Methods Passive: senses shortwave (visible), thermal (infrared) or microwave radiation

More information

ESTIMATION OF BIOGENIC NMVOCs EMISSIONS OVER THE BALKAN REGION

ESTIMATION OF BIOGENIC NMVOCs EMISSIONS OVER THE BALKAN REGION ESTIMATION OF BIOGENIC NMVOCs EMISSIONS OVER THE BALKAN REGION Poupkou A. 1, Symeonidis P. 1, Melas D. 1, Balis D. 1 and Zerefos C. 2,3 1 Laboratory of Atmospheric Physics, Department of Physics, AUTH

More information

Jun Park National Meteorological Satellite Center Korea Meteorological Administration

Jun Park National Meteorological Satellite Center Korea Meteorological Administration KMA Implementation Plan for Satellite Climate products Jun Park National Meteorological Satellite Center Korea Meteorological Administration jun.park@kma.go.kr Outline 1. Introduction : Current & Future

More information

REVISION OF THE STATEMENT OF GUIDANCE FOR GLOBAL NUMERICAL WEATHER PREDICTION. (Submitted by Dr. J. Eyre)

REVISION OF THE STATEMENT OF GUIDANCE FOR GLOBAL NUMERICAL WEATHER PREDICTION. (Submitted by Dr. J. Eyre) WORLD METEOROLOGICAL ORGANIZATION Distr.: RESTRICTED CBS/OPAG-IOS (ODRRGOS-5)/Doc.5, Add.5 (11.VI.2002) COMMISSION FOR BASIC SYSTEMS OPEN PROGRAMME AREA GROUP ON INTEGRATED OBSERVING SYSTEMS ITEM: 4 EXPERT

More information

Evaluation of monthly total global and diffuse solar radiation in Ibi, Taraba state, Nigeria

Evaluation of monthly total global and diffuse solar radiation in Ibi, Taraba state, Nigeria Available online at wwwpelagiaresearchlibrarycom Advances in Applied Science Research, 214, 5(2):144-148 ISSN: 976-861 CODEN (USA): AASRFC Evaluation of monthly total global and diffuse solar radiation

More information