Results 21 to 30 of about 4,176 (148)
Accurate knowledge of the precipitation estimates with high quality and fine spatiotemporal resolutions is crucial to the precipitation science communities, especially over poorly gauged regions.
Tulin Hong, Hongyi Li, Meiqiu Chen
doaj +1 more source
Getting the leaves right matters for estimating temperature extremes [PDF]
Atmospheric reanalyses combine observations and models through data assimilation techniques to provide spatio-temporally continuous fields of key surface variables.
G. Duveiller +8 more
doaj +1 more source
Correlated Triple Collocation to Estimate SMOS, SMAP and ERA5-Land Soil Moisture Errors
The novel Correlated Triple Collocation (CTC) analysis allows to assess three different data sources of similar spatial resolutions, but with two of them being correlated. In this study, the CTC was applied to estimate the unbiased random errors of the global soil moisture (SM) data provided by two L-band satellite missions -the Soil Moisture and Ocean
Pablos Hernández, Miriam +4 more
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Continuous meteorological variable time series are highly demanded for various climate related studies. Five statistical models were tested for application of temporal gaps filling in time series of surface air pressure, air temperature, relative air ...
Egor Dyukarev
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Currently, satellite-based soil moisture (SM) products and land surface model assimilation techniques are widely utilized. However, the presence of systematic errors in the observation process, algorithmic discrepancies between products, and variations ...
Liumeng Zhang +3 more
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Brief communication: Improving ERA5-Land soil temperature in permafrost regions using an optimized multi-layer snow scheme [PDF]
We previously reported a notable warm bias in ERA5-Land soil temperature in permafrost regions that was supposedly being caused by an underestimation of snow density.
B. Cao, G. Arduini, E. Zsoter, E. Zsoter
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Can Satellite and Atmospheric Reanalysis Products Capture Compound Moist Heat Stress-Floods?
Satellite-retrieved and model-based reanalysis precipitation products with high resolution have received increasing attention in recent decades. Their hydrological performance has been widely evaluated.
Lei Gu +7 more
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Evaluation of ERA5 and ERA5-Land reanalysis precipitation datasets over Spain (1951–2020)
This study was founded by the Spanish AEI within the program WaterJPI through the project iAqueduct (PCI2019-103729) , and by the project Water4Cast funded by Generalitat Valenciana (PROMETEO/2021/074) . The author thanks AEMET for the data provided for this work (AEMET dataset available at http:// www.aemet.es/va/servicioscli maticos/cambio_climat ...
Gomis-Cebolla, José +3 more
openaire +2 more sources
KrigR—a tool for downloading and statistically downscaling climate reanalysis data
Advances in climate science have rendered obsolete the gridded observation data widely used in downstream applications. Novel climate reanalysis products outperform legacy data products in accuracy, temporal resolution, and provision of uncertainty ...
Erik Kusch, Richard Davy
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Evaluating the land-surface energy partitioning in ERA5 [PDF]
Climate reanalyses provide a plethora of global atmospheric and surface parameters in a consistent manner over multi-decadal timescales. Hence, they are widely used in many fields, and an in-depth evaluation of the different variables provided by ...
B. Martens +6 more
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