Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part I: evaluation of remotely-sensed lake surface water temperature observations

Lake Surface Water Temperature (LSWT) observations are used to improve the lake surface state in the High Resolution Limited Area Model (HIRLAM), a three-dimensional numerical weather prediction (NWP) model. In this paper, satellite-derived LSWT observations from the Moderate Resolution Imaging Spec...

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Main Authors: Homa Kheyrollah Pour, Claude R. Duguay, Rune Solberg, Øystein Rudjord
Format: Article
Language:English
Published: Stockholm University Press 2014-05-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
Online Access:http://www.tellusa.net/index.php/tellusa/article/download/21534/pdf_1
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author Homa Kheyrollah Pour
Claude R. Duguay
Rune Solberg
Øystein Rudjord
author_facet Homa Kheyrollah Pour
Claude R. Duguay
Rune Solberg
Øystein Rudjord
author_sort Homa Kheyrollah Pour
collection DOAJ
description Lake Surface Water Temperature (LSWT) observations are used to improve the lake surface state in the High Resolution Limited Area Model (HIRLAM), a three-dimensional numerical weather prediction (NWP) model. In this paper, satellite-derived LSWT observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Along-Track Scanning Radiometer (AATSR) are evaluated against in-situ measurements collected by the Finnish Environment Institute (SYKE) for a selection of large- to medium-size lakes during the open-water season. Data assimilation of these LSWT observations into the HIRLAM is in the paper Part II. Results show a good agreement between MODIS and in-situ measurements from 22 Finnish lakes, with a mean bias of −1.13°C determined over five open-water seasons (2007–2011). Evaluation of MODIS during an overlapping period (2007–2009) with the AATSR-L2 product currently distributed by the European Space Agency (ESA) shows a mean (cold) bias error of −0.93°C for MODIS and a warm mean bias of 1.08°C for AATSR-L2. Two additional LSWT retrieval algorithms were applied to produce more accurate AATSR products. The algorithms use ESA's AATSR-L1B brightness temperature product to generate new L2 products: one based on Key et al. (1997) and the other on Prata (2002) with a finer resolution water mask than used in the creation of the AATSR-L2 product distributed by ESA. The accuracies of LSWT retrievals are improved with the Key and Prata algorithms with biases of 0.78°C and −0.11°C, respectively, compared to the original AATSR-L2 product (3.18°C).
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spelling doaj.art-9448c240e74649c2afe3ed6d3cf05a4e2022-12-22T02:56:21ZengStockholm University PressTellus: Series A, Dynamic Meteorology and Oceanography1600-08702014-05-0166011210.3402/tellusa.v66.2153421534Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part I: evaluation of remotely-sensed lake surface water temperature observationsHoma Kheyrollah Pour0Claude R. Duguay1Rune Solberg2Øystein Rudjord3 University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, Ontario, Canada University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, Ontario, Canada Norwegian Computing Center, Section for Earth Observation, Oslo, Norway Norwegian Computing Center, Section for Earth Observation, Oslo, NorwayLake Surface Water Temperature (LSWT) observations are used to improve the lake surface state in the High Resolution Limited Area Model (HIRLAM), a three-dimensional numerical weather prediction (NWP) model. In this paper, satellite-derived LSWT observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Along-Track Scanning Radiometer (AATSR) are evaluated against in-situ measurements collected by the Finnish Environment Institute (SYKE) for a selection of large- to medium-size lakes during the open-water season. Data assimilation of these LSWT observations into the HIRLAM is in the paper Part II. Results show a good agreement between MODIS and in-situ measurements from 22 Finnish lakes, with a mean bias of −1.13°C determined over five open-water seasons (2007–2011). Evaluation of MODIS during an overlapping period (2007–2009) with the AATSR-L2 product currently distributed by the European Space Agency (ESA) shows a mean (cold) bias error of −0.93°C for MODIS and a warm mean bias of 1.08°C for AATSR-L2. Two additional LSWT retrieval algorithms were applied to produce more accurate AATSR products. The algorithms use ESA's AATSR-L1B brightness temperature product to generate new L2 products: one based on Key et al. (1997) and the other on Prata (2002) with a finer resolution water mask than used in the creation of the AATSR-L2 product distributed by ESA. The accuracies of LSWT retrievals are improved with the Key and Prata algorithms with biases of 0.78°C and −0.11°C, respectively, compared to the original AATSR-L2 product (3.18°C).http://www.tellusa.net/index.php/tellusa/article/download/21534/pdf_1lake surface water temperaturesatellite observationsMODISAATSRHIRLAM
spellingShingle Homa Kheyrollah Pour
Claude R. Duguay
Rune Solberg
Øystein Rudjord
Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part I: evaluation of remotely-sensed lake surface water temperature observations
Tellus: Series A, Dynamic Meteorology and Oceanography
lake surface water temperature
satellite observations
MODIS
AATSR
HIRLAM
title Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part I: evaluation of remotely-sensed lake surface water temperature observations
title_full Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part I: evaluation of remotely-sensed lake surface water temperature observations
title_fullStr Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part I: evaluation of remotely-sensed lake surface water temperature observations
title_full_unstemmed Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part I: evaluation of remotely-sensed lake surface water temperature observations
title_short Impact of satellite-based lake surface observations on the initial state of HIRLAM. Part I: evaluation of remotely-sensed lake surface water temperature observations
title_sort impact of satellite based lake surface observations on the initial state of hirlam part i evaluation of remotely sensed lake surface water temperature observations
topic lake surface water temperature
satellite observations
MODIS
AATSR
HIRLAM
url http://www.tellusa.net/index.php/tellusa/article/download/21534/pdf_1
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