Results 51 to 60 of about 4,535 (186)
International Journal of Climatology, EarlyView.We downscale CanESM2 with the Regional Climate Model version 4 (20 km) and evaluate against 15 stations to derive monthly PET (Hargreaves–Samani) and SPEI for northeastern Iran (1990–2009, 2040–2059, 2080–2099). Results show robust PET increases and a shift toward more negative monthly SPEI—especially April–September—indicating earlier onset and longer
Nasrin Salehnia +6 more
wiley +1 more source
Intercomparison of temperature trends in IPCC CMIP5 simulations with observations, reanalyses and CMIP3 models [PDF]
Geoscientific Model Development, 2013 On the basis of the fifth Coupled Model Intercomparison Project (CMIP5) and the climate model simulations covering 1979 through 2005, the temperature trends and their uncertainties have been examined to note the similarities or differences compared to ...
J. Xu, A. M. Powell Jr., L. Zhao
doaj +1 more source
Changing Water Resources in the Indus Basin: A Multi‐Model Budyko‐Based Analysis
International Journal of Climatology, EarlyView.Budyko‐based analysis evaluates historical (1962–2005) and future hydroclimatic change across the Indus River Basin. Budyko shifts indicate rising atmospheric evaporative demand and increasing energy limitation under future scenarios. ABSTRACT Assessing hydroclimatic variability and future water availability is crucial for sustainable water‐resource ...
Muhammad Arif +3 more
wiley +1 more source
Atmosphere, 2019 In this study, the impact of the Pacific Decadal Oscillation (PDO) on the China winter temperature (CWT) was assessed on an interdecadal timescale, and the capacities of the 35 models of the fifth Coupled Model Intercomparison Project (CMIP5) were ...
Yifei Xu +3 more
doaj +1 more source
The Atlantic ITCZ bias in CMIP5 models [PDF]
Climate Dynamics, 2014 Precipitation over the tropical Atlantic in 24 atmospheric models is analyzed using an object-based approach, which clusters rainy areas in the models as precipitation objects and calculates their properties such as size, amplitude, and location. Based on the distribution of precipitation objects over land and over ocean, two classes of models emerge ...
Siongco, A. +2 more
openaire +2 more sources
Characterising City Scale Heat Climatology for Australian Climate Zones
International Journal of Climatology, EarlyView.The Urban Heat Island (UHI) effect in Australian cities peaks at night, intensifying under dry conditions, clear skies, increased solar radiation, and low wind speeds. Long‐term observations show that nighttime temperatures in major cities have warmed faster than their rural surroundings and future climate projections fail to capture this disparity ...
Vihan C. N. Weeraratne +4 more
wiley +1 more source
Environmental Research Letters, 2021 Seasonal drought occurrences are found to increase across different regions over China under global warming, but with large uncertainties among models. With ten selected Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models and seven CMIP6
Sisi Chen, Xing Yuan
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International Journal of Climatology, EarlyView.The Galápagos Archipelago's near‐surface climate is primarily influenced by interannual El Niño‐Southern Oscillation variability, with no statistical evidence for long‐term trends in air temperature, humidity, or precipitation. While tropospheric warming and increased atmospheric stability are observed, these trends are largely decoupled from near ...
Benjamin Schmidt +6 more
wiley +1 more source
Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100 [PDF]
Geoscientific Model Development, 2014 Soil carbon storage simulated by the Coupled Model Intercomparison Project (CMIP5) models varies 6-fold for the present day. Here, we confirm earlier work showing that this range already exists at the beginning of the CMIP5 historical simulations.
J.-F. Exbrayat +2 more
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Evaluations of CMIP5 simulations over cropland [PDF]
SPIE Proceedings, 2015 Cropland is the major source of carbon lost to the atmosphere and contribute directly to emissions of greenhouse gases. There is, however, large potential for cropland to reduce its carbon ux to the atmosphere and sequester soil carbon through soil and crop managements.
Min Xu, Forrest Hoffman
openaire +1 more source