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

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

Claude Duguay University of Waterloo

Evaluation and Assimilation of Remotely- Sensed Lake Surface Temperature in the HIRLAM Weather Forecasting System

Improvement of objective analysis of lake surface state in HIRLAM using satellite observations

Lake ice cover and surface water temperature II: Satellite remote sensing

Data assimilation over lakes

Lake parameters climatology for cold start runs (lake initialization) in the ECMWF forecast system

Parameterization of Lakes in Numerical Weather Prediction models

Remote Sensing of SWE in Canada

Remote sensing of snow at SYKE Sari Metsämäki

On the Use of MODIS for Lake and Land Surface Temperature Investigations in the Regions of Great Bear Lake and Great Slave Lake, N.W.T.

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

ALASKA REGION CLIMATE OUTLOOK BRIEFING. November 17, 2017 Rick Thoman National Weather Service Alaska Region

ALASKA REGION CLIMATE OUTLOOK BRIEFING. December 22, 2017 Rick Thoman National Weather Service Alaska Region

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

Snow Cover Applications: Major Gaps in Current EO Measurement Capabilities

Climate Models and Snow: Projections and Predictions, Decades to Days

ALASKA REGION CLIMATE FORECAST BRIEFING. October 27, 2017 Rick Thoman National Weather Service Alaska Region

ALASKA REGION CLIMATE OUTLOOK BRIEFING. November 16, 2018 Rick Thoman Alaska Center for Climate Assessment and Policy

PROJECT REPORT (ASL 720) CLOUD CLASSIFICATION

The MODIS Cloud Data Record

Sierra Weather and Climate Update

Global SWE Mapping by Combining Passive and Active Microwave Data: The GlobSnow Approach and CoReH 2 O

Indian National (Weather) SATellites for Agrometeorological Applications

The Application of Satellite Data i n the Global Surface Data Assimil ation System at KMA

ADVANCEMENTS IN SNOW MONITORING

Recent Improvements in the U.S. Navy s Ice Modeling Efforts Using CryoSat-2 Ice Thickness for Model Initialization

REMOTE SENSING OF PERMAFROST IN NORTHERN ENVIRONMENTS

Application of a Land Surface Temperature Validation Protocol to AATSR data. Dar ren Ghent1, Fr ank Göttsche2, Folke Olesen2 & John Remedios1

Floating Ice: Progress in Addressing Science Goals

Intercomparison of Snow Extent Products from Earth Observation Data

SYSTEM BRIEF DAILY SUMMARY

NOAA Snow Map Climate Data Record Generated at Rutgers

C o p e r n i c u s L a n d M o n i t o r i n g S e r v i c e

Ice Freeze-up and Break-up Detection of Shallow Lakes in Northern Alaska with Spaceborne SAR

ASSESSMENT OF NORTHERN HEMISPHERE SWE DATASETS IN THE ESA SNOWPEX INITIATIVE

Examples on Sentinel data applications in Finland, possibilities, plans and how NSDC will be utilized - Snow

Using VIIRS Land Surface Temperature to Evaluate NCEP North American Mesoscale Model (NAM) Forecast

Current status of lake modelling and initialisation at ECMWF

Global Flood Alert System based on satellite derived rainfall data -Targeting the era of Global Precipitation Measurement (GPM)-

Japanese Programs on Space and Water Applications

Arctic Regional Ocean Observing System Arctic ROOS Report from 2012

The MSC Beaufort Wind and Wave Reanalysis

Characterization of the Present-Day Arctic Atmosphere in CCSM4

Some NOAA Products that Address PSTG Satellite Observing Requirements. Jeff Key NOAA/NESDIS Madison, Wisconsin USA

Operational systems for SST products. Prof. Chris Merchant University of Reading UK

Ice Surface temperatures, status and utility. Jacob Høyer, Gorm Dybkjær, Rasmus Tonboe and Eva Howe Center for Ocean and Ice, DMI

A Report on a Statistical Model to Forecast Seasonal Inflows to Cowichan Lake

NSIDC/Univ. of Colorado Sea Ice Motion and Age Products

BMKG Research on Air sea interaction modeling for YMC

11 days (00, 12 UTC) 132 hours (06, 18 UTC) One unperturbed control forecast and 26 perturbed ensemble members. --

Drought Characterization. Examination of Extreme Precipitation Events

Land Data Assimilation at NCEP NLDAS Project Overview, ECMWF HEPEX 2004

Assimilation of Snow and Ice Data (Incomplete list)

The Canadian ADAGIO Project for Mapping Total Atmospheric Deposition

JPSS GEONETCAST REQUIREMENTS DISCUSSION

Advancements and validation of the global CryoClim snow cover extent product

SYSTEM BRIEF DAILY SUMMARY

The ECMWF coupled data assimilation system

NESDIS Polar (Region) Products and Plans. Jeff Key NOAA/NESDIS Madison, Wisconsin USA

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

GFAS Methodology & Results

The importance of long-term Arctic weather station data for setting the research stage for climate change studies

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

Recent ECMWF Developments

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

Climate Modeling Research & Applications in Wales. John Houghton. C 3 W conference, Aberystwyth

TAMSAT: LONG-TERM RAINFALL MONITORING ACROSS AFRICA

Global climate predictions: forecast drift and bias adjustment issues

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

ESA GlobSnow - project overview

Drought in Southeast Colorado

We greatly appreciate the thoughtful comments from the reviewers. According to the reviewer s comments, we revised the original manuscript.

Improving numerical sea ice predictions in the Arctic Ocean by data assimilation using satellite observations

Analyzing and Visualizing Precipitation and Soil Moisture in ArcGIS

Agricultural Science Climatology Semester 2, Anne Green / Richard Thompson

Assimilation of GlobSnow Data in HIRLAM. Suleiman Mostamandy Kalle Eerola Laura Rontu Katya Kourzeneva

The ESA SnowPex project and an introduction to the APVE workshops

Life Cycle of Convective Systems over Western Colombia

Sea ice charts and SAR for sea ice classification. Patrick Eriksson Juha Karvonen Jouni Vainio

Application of EO for Environmental Monitoring at the Finnish Environment Institute

From short range forecasts to climate change projections of extreme events in the Baltic Sea region

ENVISAT - AATSR CYCLIC REPORT #63

Marche Region Climate Analysis by Danilo Tognetti 1

A. Windnagel M. Savoie NSIDC

Environment and Climate Change Canada / GPC Montreal

Recent improvements on the wave forecasting system of Meteo-France: modeling and assimilation aspects

Satellite-derived environmental drivers for top predator hotspots

Chiang Rai Province CC Threat overview AAS1109 Mekong ARCC

Champaign-Urbana 2000 Annual Weather Summary

Impact of METOP ASCAT Ocean Surface Winds in the NCEP GDAS/GFS and NRL NAVDAS

Analysis of Antarctic Sea Ice Extent based on NIC and AMSR-E data Burcu Cicek and Penelope Wagner

Development of the Canadian Precipitation Analysis (CaPA) and the Canadian Land Data Assimilation System (CaLDAS)

Local Ctimatotogical Data Summary White Hall, Illinois

Cloud masking as cross-cutting issue

This is version v0.2 of this report issued together with the SIT and SIV data sets at the ICDC ESA-CCI- Projekt web page

Circumpolar AVHRR Surface Temperature and its Relationship Bioclimate Zones and NDVI

Feature resolution in OSTIA L4 analyses. Chongyuan Mao, Emma Fiedler, Simon Good, Jennie Waters, Matthew Martin

Inter-linkage case study in Pakistan

Evaluation of updated JXAM5 snow cover extent product using ground based snow depth information

Transcription:

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 Workshop Ottawa, 12-13 November 14

Content Arctic land surface temperature (LST) from satellite observations Arctic lake surface water temperature (LSWT) from satellite observations Generation of products Evaluation of products Concluding remarks

Arctic land surface temperature (LST) from satellite observations Why? Long term changes in surface temperature Evaluation of regional climate models Assimilation into permafrost models Arctic lake surface water temperature (LSWT) from satellite observations Why? Long term changes in water temperature Evaluation of lake models Assimilation into weather prediction models

Arctic LST from satellite observations UW-L3 LST weekly and monthly (25 km) products derived from combination of Terra and Aqua L2 data (top) 25 km x 25 km grid cells Soliman et al., 12

Arctic LST/LSWT from satellite observations Monthly MODIS (Terra and Aqua combined- 1km) LST/LSWT. Great Slave Lake/ Great Bear Lake, NWT (July 02-).

Arctic LSWT from satellite observations Monthly MODIS (Terra and Aqua combined-1km) LSWT Great Slave Lake, NWT (Jan-Dec 06)

Generation of products MODIS L2 files (MOD/MYD) Interpolated L2 files 1 km EASE-Grid Polar Projection Spatial Aggregation 1-25 km Processing chain of MODIS UW-L3 LST/LSWT products Temporal Aggregation Update day and night averages Day observations count, File 4 Day LS(W)T day/ week/monthaverage, File 3 Night LS(W)T day/ week/month- average, File 5 Night observations count, File 6 Day/Night LS(W)T daily/ weekly/monthlyaverage File 1 Total observations count, File 2

Evaluation of LST products UW-L3 LST monthly product intercomparison Monthly MODIS (Terra and Aqua combined-1km) and clear-sky monthly average of NARR and SSM/I LST, and AMSR-E screen-height air temperature for July 07. Mean difference in the order of 1-2 K between MODIS and other products during snow-free conditions. 25 km x 25 km grid cells Soliman et al., 12 SSM/I: Royer and Poirier, AMSR-E: Jones et al.,

LST vs 2-m air temperature Evaluation of LST products Daily averaged (MOD/MYD) Hourly overpasses(mod/myd) Deline_Station MODIS Deline_Station MODIS 30 40 30 Temperature ( C) 0 - - Temperature ( C) 0 - - -30-30 -40-40 -50 07 08-50 07 08 30 Deline_Hourly Air Temperature ( C) 0 - - -30-40 R 2 = 0.97 n= 708 I a = 0.987 MBE= 1.12 RMSE= ± 4.53-50 -50-40 -30 - - 0 30 MODIS_LST ( C)

Evaluation of LSWT products LSWT vs surface water temperature Temperature ( C) 25 ΔT (MODIS - In situ) In-situ (0m) MODIS LST 15 5 0-5 I a = 0.94 MBE = - 0.90 RMSE = ±1.36 - June July August September ST3 Great Slave Lake (June to Sep 03) In-situ data obtained from buoys 0 In-situ Axis LWST Title (0m) ( C) 15 5 ST4 ST7 n = 175 MBE = - 1.00 RMSE = ± 1.55 0 5 15 MODIS LWST ( C)

Evaluation of LSWT products AATSR LSWT vs surface water temperature a) AATSR-L2-NCC ( C) 30 25 15 Jaasjarvi NuasiJarvi Inari Pyhajarvi Haukivesi Lappa Pielinen Oulujarvi Rehja-Nuas n = 31 MBE = -0.63 RMSE = 4.60 b) AATSR-L2-PR ( C) 30 25 15 Jaasjarvi NuasiJarvi Inari Pyhajarvi Haukivesi Lappa Pielinen Oulujarvi Rehja-Nuas n = 32 MBE = -0.45 RMSE = 3.46 c) AATSR_L2 ( C) 5 5 15 25 30 30 25 15 Jaasjarvi NuasiJarvi Inari Pyhajarvi Haukivesi Lappa Pielinen Oulujarvi Rehja-Nuas SYKE ( C) 5 5 15 25 30 SYKE ( C) n = 19 MBE = 3.18 RMSE = 5.24 5 5 15 25 30 SYKE ( C) a) AATSR_L2_NCC b) AATSR_L2_PR c) ESA s AATSR L2 In-situ data from Finnish Lakes (August 09)

Evaluation of LSWT products LSWT vs 1-D lake models 30 CLIMo FLake MODIS Temperature ( C) 0 - - -30-40 -50 Jan-02 Jan-03 Jan-04 Jan-05 Jan-06 Jan-07 Jan-08 Jan-09 Jan- Great Slave Lake (02-) LST-CLIMo (02-) 30 0 - CLIMo - I a = 0.956-30 MBE = 4.25-40 RMSE = 6.27 n = 1154-50 -50-40 -30 - - 0 30 LST-MODIS (02-) CLIMo: Canadian Lake Ice Model FLake: Freshwater Lake model 1:1 LST-FLake (02-) 30 0 - FLake - I a = 0.949-30 MBE = 3.03-40 RMSE = 6.30 n = 1154-50 -50-40 -30 - - 0 30 LST-MODIS (02-) Kheyrollah Pour et al., 12 1:1

Evaluation of LSWT products LSWT vs 3-D lake model POM (Aug 08) MODIS (Aug 08) POM: Princeton Ocean Model Great Bear Lake (Aug 08). POM: Yerubandi et al., 11 Mean difference in the order of 1 ºC between MODIS (MYD/MOD) and POM simulation.

Evaluation of LSWT products MODIS/AATSR LWST & MERIS ice fraction a) MODIS visible image b) MERIS ice fraction c) AATSR surface temperature (between 8- AM local time) d) MODIS day time (between AM -12 PM local time) e) MODIS night time (between PM - 3 AM local time) a) b) c) d) e) 12 April 11 Kheyrollah Pour et al., 14

Concluding remarks Differences are in the order of 1-2 ºC between in-situ LST/LSWT, modeled LSWT and satellite-derived observations. MODIS Level 2 (Aqua/Terra) and derived products (e.g., UW-L3) allow for the examination of yearly/monthly and seasonal changes over the last decade. Two new algorithms (Key and Prata algorithms) were applied with the objective of improving the accuracy of LSWT product from AATSR. The newly developed AATSR products provide comparable results and minimize land contamination effects of existing product from ESA. More frequent satellite observations will be available (e.g. Sentinel-3 SLSTR, GCOM-C1 SGLI) with 1-km and 500-m spatial resolutions respectively.

Questions? Churchill, MB. Feb. 11

Evaluation of LST products Daily/hourly MODIS LST vs. Air Temperature (Hay River 07-08) 30 Daily Hay River_Station MODIS 40 Hourly Hay River_Station MODIS 30 Temperature ( C) 0 - - Temperature ( C) 0 - - -30-30 -40-40 -50 07 08-50 07 08 Daily Deline_Hourly Air Temperature ( C) 30 0 - - -30-40 Hourly R 2 = 0.96 n= 1435 I a = 0.985 MBE= -1.48 RMSE= ± 4.35-50 -50-40 -30 - - 0 30 MODIS_LST ( C)

LST vs air temp. Imnavait Basin, AK Arctic LST from satellite observations: validation/comparison Kuujjuaq, QC Hachem et al., 12

Arctic LST from satellite observations: validation/comparison Imnavait Basin, AK Kuujjuaq, QC LST vs ground temp. (3-5 cm below the surface) Hachem et al., 12

HIRLAM forecasting results without LSWT data with LSWT data Simulated 2m air temperature Simulated 2m air temperature MODIS visible image Simulated cloud cover 28 January 12, 00 UTC Simulated cloud cover

Recent variations observed by MODIS (00-12) Spring (MAM) anomaly (12 vs mean 02-11) March April May Derived from UW-L3 LST (25 km x 25 km)

MODIS-derived UW-L3 LST (1 km x 1 km) Nov. 11-1km

MODIS-derived UW-L3 LSWT (1 km x 1 km) 1-7 Jan. -1km Weekly June 12-1km Monthly