Results 11 to 20 of about 1,748,129 (280)
Journal of Advances in Modeling Earth Systems, 2023 Cumulus parameterization (CP) in state‐of‐the‐art global climate models is based on the quasi‐equilibrium assumption (QEA), which views convection as the action of an ensemble of cumulus clouds, in a state of equilibrium with respect to a slowly varying ...
B. Khouider +3 more
doaj +1 more source
Evaluation of high-resolution precipitation analyses using a dense station network [PDF]
Hydrology and Earth System Sciences, 2015 The ability of radar–rain gauge merging algorithms to precisely analyse convective precipitation patterns is of high interest for many applications, e.g.
A. Kann +7 more
doaj +1 more source
Global soil moisture bimodality in satellite observations and climate models [PDF]
, 2017 A new diagnostic metric based on soil moisture bimodality is developed in order to examine and compare soil moisture from satellite observations and Earth System Models.
de Jeu, RAM +3 more
core +5 more sources
The effect of empirical-statistical correction of intensity-dependent model errors on the temperature climate change signal [PDF]
Hydrology and Earth System Sciences, 2015 This study discusses the effect of empirical-statistical bias correction methods like quantile mapping (QM) on the temperature change signals of climate simulations.
A. Gobiet, M. Suklitsch, G. Heinrich
doaj +1 more source
Remote Sensing, 2023 The loss of coral habitats and associated biodiversity have direct effects both on the physical dynamics of the coast and on natural resources, threatening the survival of local populations.
Andrea Peirano +8 more
doaj +1 more source
Impact of the Microphysics in HARMONIE-AROME on Fog
Atmosphere, 2022 This study concerns the impact of microphysics on the HARMONIE-AROME NWP model. In particular, the representation of cloud droplets in the single-moment bulk microphysics scheme is examined in relation to fog forecasting. We focus on the shape parameters
Sebastián Contreras Osorio +6 more
doaj +1 more source
Causal networks for climate model evaluation and constrained projections [PDF]
, 2020 Global climate models are central tools for understanding past and future climate change. The assessment of model skill, in turn, can benefit from modern data science approaches. Here we apply causal discovery algorithms to sea level pressure data from a
Eyring, Veronika +3 more
core +2 more sources
Local ecosystem feedbacks and critical transitions in the climate [PDF]
, 2009 Global and regional climate models, such as those used in IPCC assessments, are the best tools available for climate predictions. Such models typically account for large-scale land-atmosphere feedbacks.
Bodegom, P.M., van +15 more
core +2 more sources
Advances in Climate Change Research, 2016 The aim of this work is to investigate the soil water budget across China by means of hydrological modeling under current and future climate conditions and to evaluate the sensitivity to soil parameters.
Alfredo Reder +3 more
doaj +1 more source
Climate Model Intercomparison [PDF]
CHANCE, 2017 Despite some climate “skeptics” over global warming and climate change due to human influence, it is safe to say that scientific consensus has been achieved and the majority of the public believes ...
openaire +2 more sources