Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Miguel Angel Rico‐Ramirez"'
Autor:
Nergui Nanding, Yang Chen, Huan Wu, Buwen Dong, Fangxing Tian, Fraser C. Lott, Simon F. B. Tett, Miguel Angel Rico-Ramirez, Yiheng Chen, Zhijun Huang, Yan Yan, Delei Li, Rouke Li, Xuan Wang, Xuewei Fan
Publikováno v:
Frontiers in Environmental Science, Vol 8 (2020)
Understanding the driving factors for precipitation extremes matters for adaptation and mitigation measures against the changing hydrometeorological hazards in Yangtze River basin, a habitable area that provides water resources for domestic, farming,
Externí odkaz:
https://doaj.org/article/d18ca68c80e44551bf4570052850fc85
Publikováno v:
Wang, J, Zhuo, L, Rico-Ramirez, M A, Mohamed, A A I & Han, D 2023, ' Interacting Effects of Precipitation and Potential Evapotranspiration Biases on Hydrological Modeling ', Water Resources Research, vol. 59, no. 3, e2022WR033323 . https://doi.org/10.1029/2022WR033323
Key Points-Biases in precipitation and potential evapotranspiration data have compensating effects on hydrological modeling performance-A Compensational Interaction Angle (CIA) is proposed to quantify the compensational relationship in reproducing go
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee14279443a3752ba9882e88232f7b42
https://doi.org/10.1029/2022wr033323
https://doi.org/10.1029/2022wr033323
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 6339-6357 (2021)
Naha, S, Rico-Ramirez, M A & Rosolem, R 2021, ' Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India ', Hydrology and Earth System Sciences, vol. 25, no. 12, pp. 6339-6357 . https://doi.org/10.5194/hess-25-6339-2021
Naha, S, Rico-Ramirez, M A & Rosolem, R 2021, ' Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India ', Hydrology and Earth System Sciences, vol. 25, no. 12, pp. 6339-6357 . https://doi.org/10.5194/hess-25-6339-2021
The objective of this study is to assess the impacts of land cover change on the hydrological responses of the Mahanadi river basin, a large river basin in India. Commonly, such assessments are accomplished by using distributed hydrological models in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e74243f57668d5acfbbd13962b99a58
https://doi.org/10.5194/hess-25-6339-2021
https://doi.org/10.5194/hess-25-6339-2021
Autor:
Daniel Power, Miguel Angel Rico-Ramirez, Pierre Gentine, David McJannet, Humberto Ribeiro da Rocha, Rafael Rosolem
Estimates of evapotranspiration and carbon fluxes across the globe are increasingly important to understand the impacts of climate change on global eco-hydrology. Soil moisture has a significant influence in these processes, and if we want to accurat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a628fdebc4e551cf99075fc06a46bde
https://doi.org/10.5194/egusphere-egu22-7749
https://doi.org/10.5194/egusphere-egu22-7749
The serious hydrological consequences of climate change faced by developing countries like India show regional variability. Understanding these regional hydrologic impacts has a crucial role in the management of water resources. Mahanadi river basin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37ef036b7b8705fd4650b0d3434f1086
https://doi.org/10.5194/egusphere-egu22-11093
https://doi.org/10.5194/egusphere-egu22-11093
Publikováno v:
Giani, G, Tarasova, L, Woods, R A & Rico-Ramirez, M A 2022, ' An objective time-series-analysis method for rainfall-runoff event identification ', Water Resources Research, vol. 58, no. 2, e2021WR031283 . https://doi.org/10.1029/2021WR031283
Methodologies for rainfall-runoff event identification from continuous time series suffer from significant subjectivity. In particular, whether they initiate the identification from rainfall or from the streamflow timeseries, they usually require bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::347e618e4bf858bc3279a37789f313f9
https://doi.org/10.1029/2021wr031283
https://doi.org/10.1029/2021wr031283
Publikováno v:
Giani, G, Rico-Ramirez, M A & Woods, R A 2022, ' Are moments of rainfall spatial variability useful for runoff modelling in operational hydrology? ', Hydrological Sciences Journal, vol. 67, no. 10, pp. 1466-1479 . https://doi.org/10.1080/02626667.2022.2092405
Moments of rainfall spatial variability, which quantify how flood response time scales are affected when spatially variable rainfall is considered, compared to when rainfall is spatially uniform, have been suggested as a useful tool for forecasters t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e9d094dc490f057e9c3a9ae975a1bc8
Understanding soil moisture dynamics at the sub-kilometre scale is increasingly important especially with continuous development of hyper-resolution land-surface and hydrological models. Cosmic Ray Neutron Sensors (CRNS) are able to provide estimates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ca5c262d951b69a9db201d754e6b889
https://gmd.copernicus.org/preprints/gmd-2021-77/
https://gmd.copernicus.org/preprints/gmd-2021-77/
Accurate estimation of the Freezing Level (FL) is essential in radar rainfall estimation to mitigate the bright band enhancement, to classify hydrometeors, to correct for rain-attenuation and to calibrate radar measurements. Here we present a novel a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07a01a19d1cb64aabba2189f3f09fa32
https://amt.copernicus.org/preprints/amt-2020-375/
https://amt.copernicus.org/preprints/amt-2020-375/
Autor:
Efren Gonzalez-Ramirez, Miguel Angel Rico-Ramirez, Cluckie, Ian D., La Rosa Vargas, J. I., Alaniz-Lumbreras, D.
Publikováno v:
Scopus-Elsevier
University of Bristol-PURE
University of Bristol-PURE
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8ae6b1aaac8f91beb49d35a4e3ece999
http://www.scopus.com/inward/record.url?eid=2-s2.0-84883119754&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84883119754&partnerID=MN8TOARS