Results 151 to 160 of about 118,555 (398)
On the relationships among cloud cover, mixed‐phase partitioning, and planetary albedo in GCMs
, 2016 In this study, it is shown that CMIP5 global climate models (GCMs) that convert supercooled water to ice at relatively warm temperatures tend to have a greater mean‐state cloud fraction and more negative cloud feedback in the middle and high latitude ...
D. McCoy +4 more
semanticscholar +1 more source
Performance Evaluation of the MPAS Model in Simulating Southeast Asian Rainfall Characteristics
International Journal of Climatology, EarlyView.This study evaluates the performance of the Model for Prediction Across Scales–Atmosphere (MPAS) in reproducing key rainfall characteristics over Southeast Asia (SEA) during 2000–2020, using the MSWEP dataset as reference. MPAS realistically captures the observed meridional rainfall gradient, with higher rainfall in the south and lower in the north, as
Nguyen Thanh Hung +4 more
wiley +1 more source
Natural Hazards ResearchThe use of Global Climate Models (GCMs) data is the most practical way to conduct studies on climate science. However, performance evaluation and the selection of appropriate GCMs are vital.
Jemal Ali Mohammed
doaj +1 more source
Is UV laser ablation a suitable tool for geochemical analysis of organic rich source materials? [PDF]
, 2008 not ...
Fuentes, David +4 more
core
What Do Latest CMIP6 Global Climate Models Say About Future Arctic Sea Ice Coverage Changes?
International Journal of Climatology, EarlyView.Modelling of sea ice dynamics has significantly improved between CMIP5 and CMIP6, with nearly three times as many models capturing realistic annual variability in sea ice extent (SIE). What we previously thought was a non‐linear pattern of low SIE observations in 2007–2010 that would continue throughout time now appears to be non‐record‐setting lows in
Jessica L. Matthews +4 more
wiley +1 more source
International Journal of Climatology, EarlyView.Daily bias‐correction aggregated to monthly scale preserves the cross‐correlation between precipitation and temperature better than direct monthly bias‐correction. The Canonical Correlation Analysis (CCA) method outperforms Quantile Regression (QR) and MACA, yielding lower bias and higher accuracy, highlighting its suitability for multivariate climate ...
Chingka Kalai +3 more
wiley +1 more source
International Journal of Climatology, EarlyView.The NSW and Australian Regional Climate Modelling Version 2.0 (NARCliM2.0) builds on NARCliM1.0 and 1.5 to deliver improved regional climate simulations. This study provides the first comprehensive evaluation of NARCliM2.0 against its predecessors, assessing individual model skill in reproducing mean and extreme climate.
Fei Ji +12 more
wiley +1 more source
A Simple Polarization for Powerful Preliminary Test of Oil Quality Level [PDF]
, 2015 In this paper, light polarization has been used to indicate level quality of various vegetable oils. A new indication of level quality used here was change of light polarization, and was measured using a simple pair of polarizer-analyzer.
Firdausi, K. Sofjan +3 more
core
Reply [to “Comment on ‘A comparison of atmospheric tides inferred from observations at the mesopause during ALOHA‐93 with the model predictions of the TIME‐GCM’ by J. H. Hecht et al.”] [PDF]
, 1999 J. H. Hecht +10 more
openalex +1 more source