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	<title>SURFEX</title>
	<link>https://www.umr-cnrm.fr/surfex/</link>
	<description> SURFEX (Surface Externalis&#233;e, in French) is a surface modelling platform developed by M&#233;t&#233;o-France in cooperation with the scientific community.
SURFEX is composed of various physical models for natural land surface, urbanized areas, lakes and oceans. It also simulates chemistry and aerosols surface processes and can be used for assimilation of surface and near surface variables.
SURFEX has its own initialisation procedures and can be used in stand alone mode and coupled to an atmospheric model.
In SURFEX, each model grid box is represented by four surface types : sea or ocean, water bodies (lakes, ...), urban areas and nature (soil and vegetation). Each surface type is modeled with a specific surface model and the total flux of the grid box results from the addition of the individual fluxes weighted by their respective fraction. Summary of the main components of the surfex model Tile NATURE
The model for the tile &#034;Nature&#034; is the ISBA (interaction soil-biosphere-atmosphere) model Tile TOWN
The model for the tile &#034;Town&#034; is the TEB (Town energy balance) model Tile OCEAN
Surface fluxes above the tile &#034;sea and ocean&#034; can be treated in a very simple way or by using more physically based model Tile WATER
Surface fluxes above the lake tile can be treated in a very simple way or by using the FLake model Chemical scheme
Emission and deposition of dust and aerosols are treated over land and oceans Data assimilation
Assimilation of near surface meteorological variables and remotely sensed variables can be performed using an optimal interpolation or an Ensemble Kalman filter scheme </description>
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		<title>LAKE2019</title>
		<link>https://www.umr-cnrm.fr/surfex/spip.php?article449</link>
		<guid isPermaLink="true">https://www.umr-cnrm.fr/surfex/spip.php?article449</guid>
		<dc:date>2019-10-26T18:53:01Z</dc:date>
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		<dc:language>en</dc:language>
		<dc:creator>Patrick LE MOIGNE</dc:creator>



		<description>
&lt;p&gt;6&lt;sup class=&#034;typo_exposants&#034;&gt;th&lt;/sup&gt; workshop on parameterization of lakes in Numerical Weather Prediction and climate modelling &lt;br class='autobr' /&gt;
The 2019 Toulouse workshop continues the lake-parameterization workshop series held in Zelenogorsk (Russia, 2008), Norrkoping (Sweden, 2010), Helsinki (Finland, 2012), Evora (Portugal, 2015), and Berlin (Germany, 2017). Workshop website List of participants Report of Margarita Choulga Summary of the discussions Group picture (HR) &lt;br class='autobr' /&gt; Thanks for your active participation! &lt;br class='autobr' /&gt;
Modelling 1. Opening (&#8230;)&lt;/p&gt;


-
&lt;a href="https://www.umr-cnrm.fr/surfex/spip.php?rubrique164" rel="directory"&gt;LAKE Workshop&lt;/a&gt;


		</description>


 <content:encoded>&lt;div class='rss_texte'&gt;&lt;p&gt;&lt;strong&gt;6&lt;sup class=&#034;typo_exposants&#034;&gt;th&lt;/sup&gt; workshop on parameterization of lakes in Numerical Weather Prediction and climate modelling&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The 2019 Toulouse workshop continues the lake-parameterization workshop series held in Zelenogorsk (Russia, 2008), Norrkoping (Sweden, 2010), Helsinki (Finland, 2012), Evora (Portugal, 2015), and Berlin (Germany, 2017).&lt;/p&gt;
&lt;ul class=&#034;spip&#034; role=&#034;list&#034;&gt;&lt;li&gt;&lt;a href=&#034;http://www.meteo.fr/cic/meetings/2019/LAKE2019/index.html&#034; class=&#034;spip_out&#034; rel=&#034;external&#034;&gt;Workshop website&lt;/a&gt;&lt;/li&gt;&lt;li&gt;&lt;a href=&#034;https://drive.google.com/file/d/1hggs9mGXFCzre3nKTr0RIaYLB6hzTr1a/view?usp=sharing&#034; class=&#034;spip_out&#034; rel=&#034;external&#034;&gt;List of participants&lt;/a&gt;&lt;/li&gt;&lt;li&gt; &lt;a href=&#034;https://drive.google.com/open?id=1nv8l5Ciz8odSeTACg96jgtSc3NWYKCoN&#034; class=&#034;spip_out&#034; rel=&#034;external&#034;&gt;Report of Margarita Choulga&lt;/a&gt;&lt;/li&gt;&lt;li&gt; &lt;a href='https://www.umr-cnrm.fr/surfex/IMG/pdf/discussions_lake2019.pdf' class=&#034;spip_in&#034; type='application/pdf'&gt;Summary of the discussions&lt;/a&gt;&lt;/li&gt;&lt;li&gt; &lt;a href='https://www.umr-cnrm.fr/surfex/IMG/jpg/ppc_1251_2_.jpg' class=&#034;spip_in&#034; type='image/jpeg'&gt;Group picture (HR)&lt;/a&gt;&lt;/li&gt;&lt;/ul&gt;&lt;div class='spip_document_475 spip_document spip_documents spip_document_image spip_documents_center spip_document_center'&gt;
&lt;figure class=&#034;spip_doc_inner&#034;&gt; &lt;a href='https://www.umr-cnrm.fr/surfex/IMG/jpg/ppc_1251_2_.jpg' class=&#034;spip_doc_lien mediabox&#034; type=&#034;image/jpeg&#034;&gt; &lt;img src='https://www.umr-cnrm.fr/surfex/IMG/jpg/ppc_1251_2_.jpg?1572532763' width='500' height='216' alt='' /&gt;&lt;/a&gt;
&lt;/figure&gt;
&lt;/div&gt;
&lt;p&gt;Thanks for your active participation!&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Modelling&lt;/strong&gt;&lt;br class='autobr' /&gt;
1. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S1-Modelling/LeMoigne_LAKE2019_intro.pdf&#034;&gt;Opening&lt;/a&gt; &lt;i&gt;Patrick Le Moigne&lt;/i&gt;&lt;br class='autobr' /&gt;
2. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S1-Modelling/Kirillin/lake2019kirillinNew.pptx&#034;&gt;Application of FLake to stratification modeling: problems and solutions&lt;/a&gt; &lt;i&gt;Georgiy Kirillin&lt;/i&gt;&lt;br class='autobr' /&gt;
3. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S1-Modelling/MacKay_CSLM-Toulouse.pptx&#034;&gt;Surface Stress and Mixing in Small, Sheltered Boreal Lakes&lt;/a&gt; &lt;i&gt;Murray MacKay&lt;/i&gt;&lt;br class='autobr' /&gt;
4. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S1-Modelling/Chu1_Lake2019_NOAA_CHU_3Dcoupling.pptx&#034;&gt;Two-way Atmosphere-Lake-Ice Coupled Regional Climate Simulation over the Great Lakes Region&lt;/a&gt; &lt;i&gt;Philip Chu&lt;/i&gt;&lt;br class='autobr' /&gt;
5. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S1-Modelling/Guinaldo_lake_workshop.pptx&#034;&gt;Improvement of lake water dynamics in land surface model&lt;/a&gt; &lt;i&gt;Thibault Guinaldo &lt;/i&gt;&lt;br class='autobr' /&gt;
6. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S1-Modelling/Chu2_LAKE2019_LakeEffectSnow_Chu.pptx&#034;&gt;Improve Lake Effect Snow Predictions Through a loosely-Coupled NWP-Lake-Ice Modeling Approach&lt;/a&gt; &lt;i&gt;Philip Chu&lt;/i&gt;&lt;br class='autobr' /&gt;
7. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S1-Modelling/Kurzeneva_GLDB_increase.pdf&#034;&gt;Global lake database: towards increased resolution&lt;/a&gt; &lt;i&gt;Ekaterina Kurzeneva&lt;/i&gt;&lt;br class='autobr' /&gt;
8. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S1-Modelling/Bernus_Presentation_Sensitivity_Analysis_22_Octobre_2019.pdf&#034;&gt;Sensitivity analysis of FLake lake model for global land surface modeling&lt;/a&gt; &lt;i&gt;Anthony Bernus&lt;/i&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Climate Impact&lt;/strong&gt;&lt;br class='autobr' /&gt;
10. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S2-ClimateImpact/Thiery_LakeWorkshop_2019_presentation_Thiery_etal.pptx&#034;&gt;Easy lakes? Rationale and latest news from the ISIMIP lake sector&lt;/a&gt; &lt;i&gt;Wim Thiery&lt;/i&gt;&lt;br class='autobr' /&gt;
11. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S2-ClimateImpact/RaamanVinnaa_LAKE2019_LRV.pptx&#034;&gt;Local factors affecting climate related warming of lakes&lt;/a&gt; &lt;i&gt;Carl Love Mikael Raaman Vinnaa&lt;/i&gt;&lt;br class='autobr' /&gt;
12. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S2-ClimateImpact/LerouxDJ_LakeWorkshop.pptx&#034;&gt;Climate change impact on lake surface energy budget in the 20&lt;sup class=&#034;typo_exposants&#034;&gt;th&lt;/sup&gt; century&lt;/a&gt; &lt;i&gt;Delphine Leroux&lt;/i&gt;&lt;br class='autobr' /&gt;
13. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S2-ClimateImpact/Salgado_et_al_LAKE2019.pdf&#034;&gt;Assessment of the climate impact of a large artificial reservoir using a mesoscale simulations over a Typical Meteorological Year&lt;/a&gt; &lt;i&gt;Rui Salgado&lt;/i&gt;&lt;br class='autobr' /&gt;
14. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S2-ClimateImpact/Shatwell_lakes_shatwell_2019.pptx&#034;&gt;Effect of climate warming on the mixed layer depth in lakes&lt;/a&gt; &lt;i&gt;Tom Shatwell&lt;/i&gt;&lt;br class='autobr' /&gt;
15. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day1-S2-ClimateImpact/Mi_Presentation_of_Chenxi_Mi.ppt&#034;&gt;Effect of future climate change and selective withdrawal on the thermal structure of Germany's largest drinking water reservoir&lt;/a&gt; &lt;i&gt;Chenxi Mi&lt;/i&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Model Validation and Applications&lt;/strong&gt;&lt;br class='autobr' /&gt;
16. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day2-S3-ModelValApplication/Choulga_LakeWorkshop2019_Choulga.pptx&#034;&gt;Verification of lake surface water temperature and ice on/off dates&lt;/a&gt; &lt;i&gt;Margarita Choulga&lt;/i&gt;&lt;br class='autobr' /&gt;
17. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day2-S3-ModelValApplication/Amadori_etal_LAKE2019.pptx&#034;&gt;Multi-scale validation of a 3D one-way coupled atmospheric and lake hydrodynamic model&lt;/a&gt; &lt;i&gt;Marina Amadori&lt;/i&gt;&lt;br class='autobr' /&gt;
18. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day2-S3-ModelValApplication/Rontu_Lake19.pdf&#034;&gt;Snow and ice in wintertime FLake within the FMI operational HIRLAM&lt;/a&gt; &lt;i&gt;Laura Rontu&lt;/i&gt;&lt;br class='autobr' /&gt;
19. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day2-S3-ModelValApplication/Mammarella_Toulouse_2019.pptx&#034;&gt;Some features of wintertime surface energy balance in a small dimictic lake in Finland: implications to carbon cycle related processes&lt;/a&gt; &lt;i&gt;Ivan Mammarella&lt;/i&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Reservoirs&lt;/strong&gt;&lt;br class='autobr' /&gt;
20. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S4-Reservoirs/miakunin_presentation_LAKE2019.pdf&#034;&gt;LAKE2.0 and FLake simulation results of the Alqueva artificial reservoir dynamics.&lt;/a&gt; &lt;i&gt;Maxim Iakunin&lt;/i&gt;&lt;br class='autobr' /&gt;
21. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S4-Reservoirs/marti_martLake2019_CMarti.pptx&#034;&gt;Effects of reservoir operations on aquatic habitat in a montane reservoir&lt;/a&gt; &lt;i&gt;Clelia Luisa Marti&lt;/i&gt;&lt;br class='autobr' /&gt;
22. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S4-Reservoirs/vanderkelen_2019-10-24_LAKES19_presentation2.pptx&#034;&gt;Implementing reservoirs in CTSM: accounting for reservoir construction in the 20&lt;sup class=&#034;typo_exposants&#034;&gt;th&lt;/sup&gt; century.&lt;/a&gt; &lt;i&gt;Inne Vanderkelen&lt;/i&gt;&lt;br class='autobr' /&gt;
23. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S4-Reservoirs/potes_MPotes_LAKE2019.pptx&#034;&gt;Effect of Autumn reservoir overturn on turbulent fluxes over Alqueva&lt;/a&gt; &lt;i&gt;Miguel Potes&lt;/i&gt;&lt;br class='autobr' /&gt;
24. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S4-Reservoirs/CIllero_Toulouse.pptx&#034;&gt;Parameterization of empirical models for chl-a retrieval in reservoirs with two different sources of data applying different atmospheric corrections. (I) Calibration.&lt;/a&gt; &lt;i&gt;Carmen Cillero Castro&lt;/i&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Data Assimilation&lt;/strong&gt;&lt;br class='autobr' /&gt;
25. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S5-DataAssimilation/Benjamin-lake-model-HRRR-FINAL.pptx&#034;&gt;Cycled data assimilation for lakes via atmosphere-surface exchange to initialize lake conditions in US weather models&lt;/a&gt; &lt;i&gt;Stan Benjamin&lt;/i&gt;&lt;br class='autobr' /&gt;
26. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S5-DataAssimilation/Bouffard_Toulouse2019_public.pptx&#034;&gt;Meteolakes.ch, an operational 3D hydrodynamic platform for lakes&lt;/a&gt; &lt;i&gt;Damien Bouffard&lt;/i&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Remote Sensing&lt;/strong&gt;&lt;br class='autobr' /&gt;
26. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S6-RemoteSensing/Simis_et_al_LakesCCI_update_20191024.pptx&#034;&gt;Delivering the Lake Essential Climate Variables - an update from ESA lakes CCI&lt;/a&gt; &lt;i&gt;Stefan Simis&lt;/i&gt;&lt;br class='autobr' /&gt;
27. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S6-RemoteSensing/Tyler_GloboLakes_TOULOUSE_vs1.pptx&#034;&gt;A global observatory of inland waters responses to environmental change (GloboLakes)&lt;/a&gt; &lt;i&gt;Andrew Tyler&lt;/i&gt;&lt;br class='autobr' /&gt;
28. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S6-RemoteSensing/Duguay_LakeWorkshop_20191024.pptx&#034;&gt;Evolution of satellite-derived lake ice products for climate studies&lt;/a&gt; &lt;i&gt;Claude Duguay&lt;/i&gt;&lt;br class='autobr' /&gt;
29. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S6-RemoteSensing/KheyrollahPour_Lake2019_Toulouse.pdf&#034;&gt;Effects of Winter Conditions on Water Quality of Lakes-Using Remote Sensing and Machine Learning&lt;/a&gt; &lt;i&gt;Homa Kheyrollah Pour&lt;/i&gt;&lt;br class='autobr' /&gt;
30. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S6-RemoteSensing/Bresciani_etal_Tolouse.pptx&#034;&gt;Assessment of the influence of climate change on the trophic status of Italian subalpine lakes using time series of chlorophyll-a derived from satellite products&lt;/a&gt; &lt;i&gt;Mariano Bresciani&lt;/i&gt;&lt;br class='autobr' /&gt;
31. &lt;a href=&#034;https://www.umr-cnrm.fr/surfex/data/LAKE2019/Day3-S6-RemoteSensing/Ogashawara_Toulouse_Workshop.pptx&#034;&gt;Bio-optical modeling of lakes in cascade in Germany &#8211; preliminary results&lt;/a&gt; &lt;i&gt;Igor Ogashawara&lt;/i&gt;&lt;/p&gt;&lt;/div&gt;
		
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