The Impact of Satellite-Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts-Reference-Cited by-同舟云学术

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The Impact of Satellite-Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts

Published:2017-09-27 Issue:18 Volume:122 Page:9783-9802
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Candy B.¹^ORCID,Saunders R. W.¹,Ghent D.²^ORCID,Bulgin C. E.³^ORCID

Affiliation:

1. Met Office; Exeter UK

2. Department of Physics and Astronomy; University of Leicester; Leicester UK

3. Department of Meteorology; University of Reading; Reading UK

Funder

European Space Agency

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2016JD026417/fullpdf

Reference34 articles.

1. Soil temperature at ECMWF: An assessment using ground-based observations;Albergel;Journal of Geophysical Research: Atmospheres,2015

2. A revised hydrology for the ECMWF model: Verification from field site to terrestrial water storage and impact in the Integrated Forecast System;Balsamo;Journal of Hydrometeorology,2009

3. A land data assimilation system for soil moisture and temperature: An information content study;Balsamo;Journal of Hydrometeorology,2007

4. The Joint UK Land Environment Simulator (JULES), model description-Part 1: Energy and water fluxes;Best;Geoscientific Model Development,2011

5. A soil moisture and temperature network for SMOS validation in western Denmark;Bircher;Hydrology and Earth System Sciences Discussions,2011

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4. Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model;Tellus A: Dynamic Meteorology and Oceanography;2023

5. Assimilation of Screen-level Observations for Soil Moisture Analysis in the INM RAS-MSU Multilayer Soil Model Included in the SL-AV Global Atmospheric Modeling System;Russian Meteorology and Hydrology;2022-08

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