Zobrazeno 1 - 10
of 48
pro vyhledávání: '"D G Miralles"'
Autor:
S. A. Te Wierik, J. Keune, D. G. Miralles, J. Gupta, Y. A. Artzy‐Randrup, L. H. Cammeraat, E. E. vanLoon
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 20, Pp n/a-n/a (2024)
Abstract Vegetation is a major contributor of terrestrial evaporation and influences subsequent precipitation over land. Studies suggest that forests are crucial for moisture recycling, although the specific contribution of different vegetation to pr
Externí odkaz:
https://doaj.org/article/4d77d68a79fc482b9cfb5c736760aa8a
Autor:
O. M. Baez-Villanueva, M. Zambrano-Bigiarini, D. G. Miralles, H. E. Beck, J. F. Siegmund, C. Alvarez-Garreton, K. Verbist, R. Garreaud, J. P. Boisier, M. Galleguillos
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 1415-1439 (2024)
There is a wide variety of drought indices, yet a consensus on suitable indices and temporal scales for monitoring streamflow drought remains elusive across diverse hydrological settings. Considering the growing interest in spatially distributed indi
Externí odkaz:
https://doaj.org/article/0e90b45a2eaf4a2dbd29e4893fecc67e
Autor:
S. J. De Hertog, C. E. Lopez-Fabara, R. van der Ent, J. Keune, D. G. Miralles, R. Portmann, S. Schemm, F. Havermann, S. Guo, F. Luo, I. Manola, Q. Lejeune, J. Pongratz, C.-F. Schleussner, S. I. Seneviratne, W. Thiery
Publikováno v:
Earth System Dynamics, Vol 15, Pp 265-291 (2024)
Land cover and land management changes (LCLMCs) play an important role in achieving low-end warming scenarios through land-based mitigation. However, their effects on moisture fluxes and recycling remain uncertain, although they have important implic
Externí odkaz:
https://doaj.org/article/425b6b1936ae4acd86eae02c2934121d
Publikováno v:
Environmental Research Letters, Vol 12, Iss 7, p 074016 (2017)
Quantifying environmental controls on vegetation is critical to predict the net effect of climate change on global ecosystems and the subsequent feedback on climate. Following a non-linear Granger causality framework based on a random forest predicti
Externí odkaz:
https://doaj.org/article/2e232b9fe62f43e78dc0b13cc4d34315
Publikováno v:
Earth System Science Data, Vol 16, Pp 567-593 (2024)
Surface net radiation (SNR) is a vital input for many land surface and hydrological models. However, most of the current remote sensing datasets of SNR come mostly at coarse resolutions or have large gaps due to cloud cover that hinder their use as i
Externí odkaz:
https://doaj.org/article/425876a7f1d2438b9c3e69b408c86867
Autor:
S. H. Gebrechorkos, J. Peng, E. Dyer, D. G. Miralles, S. M. Vicente-Serrano, C. Funk, H. E. Beck, D. T. Asfaw, M. B. Singer, S. J. Dadson
Publikováno v:
Earth System Science Data, Vol 15, Pp 5449-5466 (2023)
Droughts are among the most complex and devastating natural hazards globally. High-resolution datasets of drought metrics are essential for monitoring and quantifying the severity, duration, frequency, and spatial extent of droughts at regional and p
Externí odkaz:
https://doaj.org/article/d4f57620d96f496c89632cf8c60075cc
Autor:
J. L. Geirinhas, A. C. Russo, R. Libonati, D. G. Miralles, A. M. Ramos, L. Gimeno, R. M. Trigo
Publikováno v:
npj Climate and Atmospheric Science, Vol 6, Iss 1, Pp 1-13 (2023)
Abstract Changes in the frequency and magnitude of dry spells have been recorded over the past few decades due to an intensification of the global water cycle. A long-term soil drying trend resulting from a joint contribution of natural decadal varia
Externí odkaz:
https://doaj.org/article/ed4329476c7b44a183fc91d7260f8c22
Autor:
J. L. Geirinhas, A. C. Russo, R. Libonati, D. G. Miralles, P. M. Sousa, H. Wouters, R. M. Trigo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract The 2013/2014 summer in Southeast Brazil was marked by historical unprecedented compound dry and hot (CDH) conditions with profound socio-economic impacts. The synoptic drivers for this event have already been analyzed, and its occurrence wi
Externí odkaz:
https://doaj.org/article/94a65855b80e41be83c719912cf7daaa
A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models
Publikováno v:
Geoscientific Model Development, Vol 15, Pp 1875-1898 (2022)
Despite the existing myriad of tools and models to assess atmospheric source–receptor relationships, their uncertainties remain largely unexplored and arguably stem from the scarcity of observations available for validation. Yet, Lagrangian models
Externí odkaz:
https://doaj.org/article/bfd303e942d14c02a5dfd2a7889ceef3
Autor:
B. Martens, D. L. Schumacher, H. Wouters, J. Muñoz-Sabater, N. E. C. Verhoest, D. G. Miralles
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 4159-4181 (2020)
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 rea
Externí odkaz:
https://doaj.org/article/8ceb71694e99481687e0f18237714033