Creating 1-km long-term (1980–2014) daily average air temperatures over the Tibetan Plateau by integrating eight types of reanalysis and land data assimilation products downscaled with MODIS-estimated temperature lapse rates based on machine learning-Reference-Cited by-同舟云学术

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Creating 1-km long-term (1980–2014) daily average air temperatures over the Tibetan Plateau by integrating eight types of reanalysis and land data assimilation products downscaled with MODIS-estimated temperature lapse rates based on machine learning

Published:2021-05 Issue: Volume:97 Page:102295
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Zhang Hongbo^ORCID,Immerzeel W.W.,Zhang Fan,de Kok Remco J.,Gorrie Sally J.,Ye Ming

Funder

State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering

State Key Laboratory of Cryospheric Science

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference101 articles.

1. Evaluation of NCEP–CFSR, NCEP–NCAR, ERA-Interim, and ERA-40 reanalysis datasets against independent sounding observations over the Tibetan Plateau;Bao;J. Clim.,2013

2. A three-dimensional variational data assimilation system for MM5: Implementation and initial results;Barker;Mon. Weather Rev.,2004

3. Estimating air surface temperature in Portugal using MODIS LST data;Benali;Remote Sens. Environ.,2012

4. Seasonal and synoptic variations in near-surface air temperature lapse rates in a mountainous basin;Blandford;J. Appl. Meteorol. Climatol.,2008

5. The reliability of Antarctic tropospheric pressure and temperature in the latest global reanalyses;Bracegirdle;J. Clim.,2012

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