Results 101 to 110 of about 4,375 (215)

Correction of Climate Model Winds With Preserved Spatio‐Temporal and Directional Consistency

Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.
Abstract Systematic biases in climate model outputs, particularly in extremes, limit their reliability for wind‐related applications. This study applies the Wavelet Bias Correction (WBC) method to daily near‐surface wind components (uwnd and vwnd) from three CMIP6 models (ACCESS‐CM2, HadGEM3‐GC31‐LL, and UKESM1‐0‐LL) over current (1979–2014) and future
Cilcia Kusumastuti, Rajeshwar Mehrotra, Ashish Sharma   +2 more
wiley   +1 more source

Uncertainty in near-surface wind speed trends at seasonal time scales [PDF]

, 2017
Observational studies have identified wind speed trends in the last decades [1,2] attributed to several factors such as changes in the land use, aerosol emissions or atmospheric circulation.
Gonzalez-Reviriego, Nube, Torralba, Verónica, Torras-Reyes, Francisco J.   +2 more
core  

Global observational diagnosis of soil moisture control on the land surface energy balance [PDF]

, 2016
An understanding of where and how strongly the surface energy budget is constrained by soil moisture is hindered by a lack of large-scale observations, and this contributes to uncertainty in climate models.
Arino O., Belen Gallego‐Elvira, Christopher M. Taylor, Darren Ghent, Karen L. Veal, Phil P. Harris, Sonja S. Folwell   +6 more
core   +1 more source

Performance of Three Reanalysis Precipitation Datasets over the Qinling-Daba Mountains, Eastern Fringe of Tibetan Plateau, China

Advances in Meteorology, 2019
Evaluation of different reanalysis precipitation datasets is of great importance to understanding the hydrological processes and water resource management practice in the Qinling-Daba Mountains (QDM), located at the eastern fringe of the Tibetan Plateau.
Gefei Wang, Xiaowen Zhang, Shiqiang Zhang   +2 more
doaj   +1 more source

ENSO and the recent warming of the Indian Ocean [PDF]

, 2018
The recent Indian Ocean (IO) warming and its relation with the El Niño Southern Oscillation (ENSO) is investigated using available ocean and atmospheric reanalyses.
Abish, Alexander, Alory, Alory, Annamalai, Balmaseda, Balmaseda, Barnett, Bellucci, Bindoff, Chakravorty, Chambers, Cherchi, Chowdary, Compo, De Mey, Dong, Dong, Dong, Du, Du, Fedorov, Han, Han, Hansen, Kalnay, Klein, Kobayashi, Krishnamurthy, Lau, Levitus, Levitus, Masina, Mayer, Mayer, Pan, Poli, Priya, Rao, Ratna, Rayner, Roeckner, Roxy, Saji, Schott, Smith, Sun, Tanaka, Terray, Tokinaga, Trenberth, Trenberth, Trenberth, Trenberth, Tyrrell, Vecchi, Wang, Williams, Yamagata   +58 more
core   +1 more source

Investigating the impact of reanalysis snow input on an observationally calibrated snow-on-sea-ice reconstruction [PDF]

The Cryosphere
A key uncertainty in reanalysis-based snow-on-sea-ice reconstructions is the choice of reanalysis product used for snowfall input. Although reanalysis products have many similarities in their precipitation output over the Arctic Ocean, they nevertheless ...
A. Cabaj, P. J. Kushner, A. A. Petty
doaj   +1 more source

The Impact of Satellite Observations on Large-Scale Atmospheric Circulation in the Reanalysis Data: A Comparison Between JRA-55 and JRA-55C

Atmosphere, 2016
The effects of satellite observations on large-scale atmospheric circulations in the reanalysis data are investigated by comparing the latest Japanese Meteorological Association`s reanalysis data (JRA-55) and its family data, JRA-55 Conventional (JRA-55C).
Mingyu Park, Yooseong Choi, Seok-Woo Son
openaire   +2 more sources

A new phase in the production of quality-controlled sea level data [PDF]

, 2017
Sea level is an essential climate variable (ECV) that has a direct effect on many people through inundations of coastal areas, and it is also a clear indicator of climate changes due to external forcing factors and internal climate variability.
A. Cazenave, A. Cazenave, G. D. Quartly, J. Benveniste, J.-C. Poisson, J.-F. Legeais, L. Carrère, L. Zawadzki, M. Ablain, M. J. Fernandes, M. J. Fernandes, O. B. Andersen, P. Cipollini, P. N. García, S. Mbajon Njiche, S. Rudenko, S. Rudenko   +16 more
core   +1 more source

How Well Do Reanalyses Capture Day-to-Day Temperature Variability?

Atmosphere
Day-to-day temperature variability (DTD) significantly affects human health and ecosystems, yet its representation in major reanalysis datasets has not been systematically evaluated. This study assesses the ability of four widely used reanalysis datasets,
Xianchun Chen, Xiaorui Niu, Ping Li, Libin Huang, Jiajia Zhang, Yanjin Mao   +5 more
doaj   +1 more source

Characterizing 15 Years of Saharan-like, Dry, Well-Mixed Air Layers in North Africa [PDF]

The Saharan Air Layer (SAL) is a dry, well-mixed layer (WML) of warm and sometimes dusty air of nearly constant water vapor mixing ratio generated by the intense surface heating and strong, dry convection in the Sahara Desert, which has notable ...
Braun, Scott A., Mohr, Karen I., Nicholls, Stephen D., Shi, Jainn J.   +3 more
core   +1 more source