Results 221 to 230 of about 1,616,544 (277)

Causal pathways underlying global soil moisture-precipitation coupling. [PDF]

Nat Commun
Sun J, Yang K, He X, Wang G, Wang Y, Yu Y, Lu H.   +6 more
europepmc   +1 more source

Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems. [PDF]

Nat Commun
Luo H, Bastos A, Reichstein M, Duveiller G, Kretzschmar J, Quaas J.   +5 more
europepmc   +1 more source

Super El Niño events drive climate regime shifts with enhanced risks under global warming. [PDF]

Nat Commun
Xue A, Geng X, Jin FF, Shin Y, Sung MK, Kug JS.   +5 more
europepmc   +1 more source

A new era of bioclimatic extremes in the terrestrial Arctic. [PDF]

Sci Adv
Aalto J, Kämäräinen M, Rantanen M, Niittynen P, Phoenix GK, Lenoir J, Maclean I, Luoto M.   +7 more
europepmc   +1 more source

Global increase in rain rate of tropical cyclones prior to landfall. [PDF]

Nat Commun
Zhong Q, Gan J, Tu S, Toumi R, Chan JCL.
europepmc   +1 more source

Land surface temperature evolution in rapidly urbanizing areas of Southeast Asia: Studies from Vietnam and Cambodia. [PDF]

PLoS One
Veettil BK, Costi J, Teck V, Puri V.
europepmc   +1 more source

Sub-diurnal asymmetric warming has amplified atmospheric dryness since the 1980s. [PDF]

Nat Commun
Zhong Z, Chen HW, Dai A, Zhou T, He B, Su B.   +5 more
europepmc   +1 more source

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Accuracy assessment of temperature trends from ERA5 and ERA5-Land.

Science of The Total Environment, 2022
Many environmental processes and ecological systems are being affected by the warming temperatures as a result of climate change. To correctly identify and attribute the uncertainty estimates in these systems, an investigation of temperature trend signal
Meric Yilmaz
semanticscholar   +3 more sources

A comprehensive comparison of bias correction methods in climate model simulations: Application on ERA5-Land across different temporal resolutions [PDF]

Heliyon
Climate data plays a crucial role in water resources management, which is becoming an increasingly relevant asset in all types of hydrological analysis not only for climate change studies but for various horizon forecasting.
P. Dhawan, Daniele Dalla Torre, Majid Niazkar, K. Kaffas, Michele Larcher, Maurizio Righetti, A. Menapace   +6 more
semanticscholar   +2 more sources

Tower-to-global upscaling of terrestrial carbon fluxes driven by MODIS-LAI, Sentinel-3-LAI and ERA5-Land data

Ecol Indic
Recent efforts in upscaling terrestrial carbon fluxes (TCFs) from eddy covariance (EC) flux towers have gained momentum with machine learning, capturing complex relationships between TCFs and their driving variables.
P. Reyes-Muñoz, Dávid D.Kovács, J. Verrelst   +2 more
semanticscholar   +2 more sources