Advances in understanding large‐scale responses of the water cycle to climate change
Globally, thermodynamics explains an increase in atmospheric water vapor with warming of
around 7%/° C near to the surface. In contrast, global precipitation and evaporation are …
around 7%/° C near to the surface. In contrast, global precipitation and evaporation are …
Recent progress on the sources of continental precipitation as revealed by moisture transport analysis
The assessment of sources of moisture is key to the understanding of the hydrological cycle
at different time scales, because it enables the establishment of source-sink relationships …
at different time scales, because it enables the establishment of source-sink relationships …
[HTML][HTML] Sea surface warming patterns drive hydrological sensitivity uncertainties
The increase in global-mean precipitation with global-mean temperature (hydrological
sensitivity; η) is constrained by the atmospheric energy budget, but its magnitude remains …
sensitivity; η) is constrained by the atmospheric energy budget, but its magnitude remains …
[HTML][HTML] Hydrological projections under CMIP5 and CMIP6: Sources and magnitudes of uncertainty
Projections of future hydrological conditions rely largely on global climate models, but model
performance varies greatly. In this study, we investigated projected changes in runoff (R) …
performance varies greatly. In this study, we investigated projected changes in runoff (R) …
[HTML][HTML] Remotely sensed winds and wind stresses for marine forecasting and ocean modeling
MA Bourassa, T Meissner, I Cerovecki… - Frontiers in Marine …, 2019 - frontiersin.org
Strengths and weakness of remotely sensed winds are discussed, along with the current
capabilities for remotely sensing winds and stress. Future missions are briefly mentioned …
capabilities for remotely sensing winds and stress. Future missions are briefly mentioned …
[HTML][HTML] The First 30 years of GEWEX
Abstract The Global Energy and Water Cycle Exchanges (GEWEX) project was created
more than 30 years ago within the framework of the World Climate Research Programme …
more than 30 years ago within the framework of the World Climate Research Programme …
[HTML][HTML] Improved tropical deep convective cloud detection using MODIS observations with an active sensor trained machine learning algorithm
Tropical deep convective clouds (DCCs) play an essential role in the Earth system.
However, separating DCCs from thick anvils with satellite passive measurements is …
However, separating DCCs from thick anvils with satellite passive measurements is …
Inter-product biases in global precipitation extremes
H Masunaga, M Schröder, FA Furuzawa… - Environmental …, 2019 - iopscience.iop.org
Biases in climatological and extreme precipitation estimates are assessed for 11 global
observational datasets constructed with merged satellite measurements and/or rain gauge …
observational datasets constructed with merged satellite measurements and/or rain gauge …
[HTML][HTML] Lessons learned from the updated GEWEX Cloud Assessment database
CJ Stubenrauch, S Kinne, G Mandorli, WB Rossow… - Surveys in …, 2024 - Springer
Abstract Since the first Global Energy and Water Exchanges cloud assessment a decade
ago, existing cloud property retrievals have been revised and new retrievals have been …
ago, existing cloud property retrievals have been revised and new retrievals have been …
[HTML][HTML] Evaluation of total column water vapour products from satellite observations and reanalyses within the GEWEX Water Vapor Assessment
Abstract Since 2011, the Global Energy and Water cycle Exchanges (GEWEX) Water Vapor
Assessment (G-VAP) has provided performance analyses for state-of-the-art reanalysis and …
Assessment (G-VAP) has provided performance analyses for state-of-the-art reanalysis and …