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Global climate changes, particularly extreme events, affect terrestrial carbon, water, and energy exchanges between the atmosphere, biosphere, and lithosphere, thus controlling freshwater availability, floods, and droughts. Therefore, it is urgent and necessary to develop advanced climate simulation and observation approaches and models related to extreme climate events. Advanced climate simulation and observation can improve the accurate prediction of climate change and long-term trends, which can mitigate climate events' impacts on human society. Under these conditions, this reprint aims to introduce advanced climate simulation and observation approaches to various practical studies related to climate variations, including the global climate models (GCMs) and regional climate models (RCMs), mitigation studies of high-impact climate events, predictions of climate variations, and some new artificial intelligence. Twenty-two papers have been collected in this reprint, with eight original research articles reporting on climate change and six papers reporting on climate change's impact on society and the economy. Meanwhile, three papers reported climate change's impact on agriculture, and climate change's impact on human health was studied in five articles.

Titel:	Advanced Climate Simulation and Observation
Autor/in / Beteiligte Person:	Hu, Zengyun ; Tang, Xuguang ; Xin, Qinchuan
Link:	View record at Directory of Open Access Books (Volltext)
Veröffentlichung:	Basel: MDPI - Multidisciplinary Digital Publishing Institute, 2023
Medientyp:	E-Book
Umfang:	416
ISBN:	978-3-0365-9138-4 (print) ; 978-3-0365-9139-1 (print)
DOI:	10.3390/books978-3-0365-9139-1
Schlagwort:	hydrological modeling gridded datasets sensitivity analysis water balance snowmelt SWAT Upper Vakhsh River Basin economic loss prediction machine learning input-output model flooding regional climate model RegCM4.5 western Tianshan Mountains parameterization scheme air quality satisfaction quality of life binomial logistic regression health utility value experienced utility elevated [CO2] warming SPAD leaf nitrogen monitoring nitrogen management Issyk-Kul accumulated temperature yield per unit area of beans climate change panel spatial error model air pollution respiratory disease generalized additive model scenario analysis assessment of economic losses arid climate geothermal energy underground temperature greenhouse heat exchanger agricultural air pollution labor migration mediation effect income effect economy of scale collective effect haze pollution scale effect special spillover effect urban population agglomeration AQI visual analysis heat map ARIMA model neural network model pulmonary tuberculosis penalized distributed lag non-linear model meteorological factors apparent temperature cumulative risk HDI decoupling index carbon emission performance LMDI 10 m wind speed cumulus parameterization schemes sensitivity of physical processes WRF mainland China environmental regulation green innovation efficiency SBM of super-efficiency system GMM estimation model evaluation rainfall simulation interannual variation IAP-AGCM Thailand China environmental Kuznets curve geographically weighted regression haze spatial heterogeneity air pollutants sustained exposure to pollution respiratory and cardiovascular diseases CiteSpace co-occurrence keywords burst words mountain-type zoonotic visceral leishmaniasis climate variables environmental variables ecological niche model transmission risk prediction drought cropland CMIP6 exposure scPDSI weather radar nowcasting generative adversarial network (GAN) Temporal and Spatial GAN (TSGAN) heavy precipitation thema EDItEUR:G Reference, Information and Interdisciplinary subjects:GP Research and information: general thema EDItEUR:R Earth Sciences, Geography, Environment, Planning:RB Earth sciences:RBP Meteorology and climatology
Sonstiges:	Nachgewiesen in: Directory of Open Access Books Sprachen: English Document Type: eBook File Description: application/octet-stream Language: English Rights: Attribution 4.0 International ; URL: https://creativecommons.org/licenses/by/4.0/ Notes: ONIX_20231130_9783036591384_101

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Advanced Climate Simulation and Observation