Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica
Moderate-Resolution Imaging spectroradiometer (MODIS) land surface temperatures in Antarctica were processed in order to produce a gridded data set at 25 km resolution, spanning the period 2000-2011 at an hourly time step. The Aqua and Terra orbits and MODIS swath width, combined with frequent clear...
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ftunivutrecht:oai:dspace.library.uu.nl:1874/341333 2023-07-23T04:15:36+02:00 Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica Freville, H. Brun, E. Picard, G. Tatarinova, N. Arnaud, L. Lanconelli, C. Reijmer, C. van den Broeke, M. Sub Dynamics Meteorology Marine and Atmospheric Research 2014-07-31 image/pdf https://dspace.library.uu.nl/handle/1874/341333 en eng 1994-0416 https://dspace.library.uu.nl/handle/1874/341333 info:eu-repo/semantics/OpenAccess Environmental Science(all) Earth and Planetary Sciences(all) Article 2014 ftunivutrecht 2023-07-02T01:52:29Z Moderate-Resolution Imaging spectroradiometer (MODIS) land surface temperatures in Antarctica were processed in order to produce a gridded data set at 25 km resolution, spanning the period 2000-2011 at an hourly time step. The Aqua and Terra orbits and MODIS swath width, combined with frequent clear-sky conditions, lead to very high availability of quality-controlled observations: on average, hourly data are available 14 h per day at the grid points around the South Pole and more than 9 h over a large area of the Antarctic Plateau. Processed MODIS land surface temperatures, referred to hereinafter as MODISTs values, were compared with in situ hourly measurements of surface temperature collected over the entirety of the year 2009 by seven stations from the Baseline Surface Radiation Network (BSRN) and automatic weather stations (AWSs). In spite of an occasional failure in the detection of clouds, MODISTs values exhibit a good performance, with a bias ranging from ĝ̂'1.8 to 0.1 °C and errors ranging from 2.2 to 4.8 °C root mean square at the five stations located on the plateau. These results show that MODISTs values can be used as a precise and accurate reference to test other surface temperature data sets. Here, we evaluate the performance of surface temperature in the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis known as ERA-Interim reanalysis. During conditions detected as cloud free by MODIS, ERA-Interim shows a widespread warm bias in Antarctica in every season, ranging from +3 to +6 °C on the plateau. This confirms a recent study which showed that the largest discrepancies in 2 m air temperature between ERA-Interim and the global temperature data set HadCRUT4 compiled by the Met Office Hadley Centre and the University of East Anglia's Climatic Research Unit occur in Antarctica. A comparison with in situ surface temperature shows that this bias is not strictly limited to clear-sky conditions. A detailed comparison with stand-alone simulations by the Crocus snowpack model, forced by ... Article in Journal/Newspaper Antarc* Antarctic Antarctica South pole South pole Utrecht University Repository Antarctic South Pole The Antarctic |
institution |
Open Polar |
collection |
Utrecht University Repository |
op_collection_id |
ftunivutrecht |
language |
English |
topic |
Environmental Science(all) Earth and Planetary Sciences(all) |
spellingShingle |
Environmental Science(all) Earth and Planetary Sciences(all) Freville, H. Brun, E. Picard, G. Tatarinova, N. Arnaud, L. Lanconelli, C. Reijmer, C. van den Broeke, M. Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica |
topic_facet |
Environmental Science(all) Earth and Planetary Sciences(all) |
description |
Moderate-Resolution Imaging spectroradiometer (MODIS) land surface temperatures in Antarctica were processed in order to produce a gridded data set at 25 km resolution, spanning the period 2000-2011 at an hourly time step. The Aqua and Terra orbits and MODIS swath width, combined with frequent clear-sky conditions, lead to very high availability of quality-controlled observations: on average, hourly data are available 14 h per day at the grid points around the South Pole and more than 9 h over a large area of the Antarctic Plateau. Processed MODIS land surface temperatures, referred to hereinafter as MODISTs values, were compared with in situ hourly measurements of surface temperature collected over the entirety of the year 2009 by seven stations from the Baseline Surface Radiation Network (BSRN) and automatic weather stations (AWSs). In spite of an occasional failure in the detection of clouds, MODISTs values exhibit a good performance, with a bias ranging from ĝ̂'1.8 to 0.1 °C and errors ranging from 2.2 to 4.8 °C root mean square at the five stations located on the plateau. These results show that MODISTs values can be used as a precise and accurate reference to test other surface temperature data sets. Here, we evaluate the performance of surface temperature in the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis known as ERA-Interim reanalysis. During conditions detected as cloud free by MODIS, ERA-Interim shows a widespread warm bias in Antarctica in every season, ranging from +3 to +6 °C on the plateau. This confirms a recent study which showed that the largest discrepancies in 2 m air temperature between ERA-Interim and the global temperature data set HadCRUT4 compiled by the Met Office Hadley Centre and the University of East Anglia's Climatic Research Unit occur in Antarctica. A comparison with in situ surface temperature shows that this bias is not strictly limited to clear-sky conditions. A detailed comparison with stand-alone simulations by the Crocus snowpack model, forced by ... |
author2 |
Sub Dynamics Meteorology Marine and Atmospheric Research |
format |
Article in Journal/Newspaper |
author |
Freville, H. Brun, E. Picard, G. Tatarinova, N. Arnaud, L. Lanconelli, C. Reijmer, C. van den Broeke, M. |
author_facet |
Freville, H. Brun, E. Picard, G. Tatarinova, N. Arnaud, L. Lanconelli, C. Reijmer, C. van den Broeke, M. |
author_sort |
Freville, H. |
title |
Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica |
title_short |
Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica |
title_full |
Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica |
title_fullStr |
Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica |
title_full_unstemmed |
Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica |
title_sort |
using modis land surface temperatures and the crocus snow model to understand the warm bias of era-interim reanalyses at the surface in antarctica |
publishDate |
2014 |
url |
https://dspace.library.uu.nl/handle/1874/341333 |
geographic |
Antarctic South Pole The Antarctic |
geographic_facet |
Antarctic South Pole The Antarctic |
genre |
Antarc* Antarctic Antarctica South pole South pole |
genre_facet |
Antarc* Antarctic Antarctica South pole South pole |
op_relation |
1994-0416 https://dspace.library.uu.nl/handle/1874/341333 |
op_rights |
info:eu-repo/semantics/OpenAccess |
_version_ |
1772176470336077824 |