Towards understanding multi-model precipitation predictions from CMIP5 based on China hourly merged precipitation analysis data
… Interestingly, the ensemble mean precipitation under the two … of precipitation between
multi-model prediction and CHMPA … precipitation, the multi-model ensemble produces relatively …
multi-model prediction and CHMPA … precipitation, the multi-model ensemble produces relatively …
[HTML][HTML] Future drought characteristics through a multi-model ensemble from CMIP6 over South Asia
J Zhai, SK Mondal, T Fischer, Y Wang, B Su… - Atmospheric …, 2020 - Elsevier
… In this paper, a five-model ensemble mean from CMIP6 was chosen to project drought
characteristics in South Asia under the latest SSPs-RCPs emission scenarios (SSP1–2.6, SSP2–…
characteristics in South Asia under the latest SSPs-RCPs emission scenarios (SSP1–2.6, SSP2–…
A multimodel ensemble machine learning approach for CMIP6 climate model projections in an Indian River basin
… on the third and fifth phase of CMIP (CMIP3 and CMIP5), respectively. These assessment
reports … For better understanding of the capability of the MME models at grid scale levels, we …
reports … For better understanding of the capability of the MME models at grid scale levels, we …
The characteristics and evaluation of future droughts across China through the CMIP6 multi-model ensemble
Z Ma, P Sun, Q Zhang, Y Zou, Y Lv, H Li, D Chen - Remote Sensing, 2022 - mdpi.com
… Understanding historical and future drought patterns is crucial to acclimation and the …
The results show that the multi-model ensemble mean (MME) is more representative of the …
The results show that the multi-model ensemble mean (MME) is more representative of the …
Future changes in precipitation extremes over Southeast Asia: insights from CMIP6 multi-model ensemble
… Future projections in monsoon rainfall from CMIP3 to CMIP6 scenarios show its … will be
available in the near future and understanding the response to different global warming threshold …
available in the near future and understanding the response to different global warming threshold …
Seasonal and regional changes in temperature projections over the Arabian Peninsula based on the CMIP5 multi-model ensemble dataset
M Almazroui, MS Khalid, MN Islam, S Saeed - Atmospheric Research, 2020 - Elsevier
… The CMIP3 is based on special report on emissions scenarios (SRES) and in the past most
… study the projected temperature changes on decadal time scales for better understanding. …
… study the projected temperature changes on decadal time scales for better understanding. …
[HTML][HTML] Evaluation of the CMIP6 multi-model ensemble for climate extreme indices
… We compare global climatology patterns of the indices simulated by the CMIP6 models
with those from HadEX3 and four reanalysis datasets and the CMIP5 multi-model ensemble …
with those from HadEX3 and four reanalysis datasets and the CMIP5 multi-model ensemble …
[HTML][HTML] Partitioning climate projection uncertainty with multiple large ensembles and CMIP5/6
… members from individual models in CMIP3, it was necessary to … , the ensemble mean of
each model and the multimodel … To understand whether this is the case, we express sources of …
each model and the multimodel … To understand whether this is the case, we express sources of …
On the projected decline in droughts over South Asia in CMIP6 multimodel ensemble
… multimodel ensemble mean CMIP6‐GCMs are not reliable over South Asia. The multimodel
ensemble … projections in comparison to the multimodel ensemble mean from all 16 GCMs (…
ensemble … projections in comparison to the multimodel ensemble mean from all 16 GCMs (…
Understanding models' global sea surface temperature bias in mean state: from CMIP5 to CMIP6
… Overall, CMIP6 models perform better than CMIP5 ones in reproducing SST climatology, with
lower multi-model ensemble mean (MME) globally averaged absolute bias (1.17 vs. 1.31 K)…
lower multi-model ensemble mean (MME) globally averaged absolute bias (1.17 vs. 1.31 K)…