Climate Research最新文献_第4页

Spatio-temporal variation of precipitation projection based on bias-adjusted CORDEX-SA regional climate model simulations for arid and semi-arid region 基于CORDEX-SA区域气候模式模拟的干旱半干旱区降水预估时空变化

IF 1.1 4区地球科学

Climate Research Pub Date : 2023-01-01 DOI: 10.3354/cr01722

A. Ghaemi, SA Hashemi Monfared, A. Bahrpeyma, P. Mahmoudi, M. Zounemat‐Kermani

引用次数: 0

Long-term trend of near-surface air temperature lapse rate over the Chinese mainland during 1961–2018 1961-2018年中国大陆近地表气温递减率的长期变化趋势

4区地球科学

Climate Research Pub Date : 2023-01-01 DOI: 10.3354/cr01731

Y Qin, G Ren, P Zhang, Y Zhan, S Zhang, X Xue

引用次数: 0

Decade-to-decade variations in summer precipitation patterns in eastern China since the 1960s: roles of water vapor transport and sea surface temperature 20世纪60年代以来中国东部夏季降水模式的年代际变化:水汽输送和海面温度的作用

IF 1.1 4区地球科学

Climate Research Pub Date : 2023-01-01 DOI: 10.3354/cr01718

P. Wang, C. Song, Y. Liu, G. Yang, J. Wang, C. Duan, Y. Ding

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Asian climate warming since 1901: observation and simulation 1901年以来亚洲气候变暖:观测与模拟

IF 1.1 4区地球科学

Climate Research Pub Date : 2023-01-01 DOI: 10.3354/cr01720

X. Sun, G. Ren, Y. Ren, W. Lin, P. Zhang, S. Zhang, X. Xue

引用次数: 0

Observed changes in temperature and precipitation over Asia, 1901−2020 1901 ~ 2020年亚洲上空温度和降水的观测变化

IF 1.1 4区地球科学

Climate Research Pub Date : 2023-01-01 DOI: 10.3354/cr01713

G. Ren, Y. Zhan, Y. Ren, K. Wen, Y. Zhang, X. Sun, P. Zhang, X. Zheng, Y. Qin, S. Zhang, J. He

引用次数: 1

CORRIGENDUM: Radiation budget in RegCM4: simulation results from two radiative schemes over the South West Indian Ocean 勘误:RegCM4的辐射收支:西南印度洋两个辐射方案的模拟结果

IF 1.1 4区地球科学

Climate Research Pub Date : 2022-09-22 DOI: 10.3354/cr01669_c

P. Li, B. Morel, M. Bessafi, Q. Li, M. Chiacchio

引用次数: 0

Weather-index insurance as an adaptation strategy to climate change: a global insight 天气指数保险作为气候变化适应策略:全球视角

IF 1.1 4区地球科学

Climate Research Pub Date : 2022-07-28 DOI: 10.3354/cr01697

AA Adetoro, Msc Ngidi, T. Ojo, G. Danso-Abbeam, A. Ogundeji, IR Orimoloye

引用次数: 1

Using ENSO conditions to optimize rice yield for Nepal’s Terai 利用ENSO条件优化尼泊尔Terai水稻产量

IF 1.1 4区地球科学

Climate Research Pub Date : 2022-07-28 DOI: 10.3354/cr01699

Prakash K. Jha, Panos Athanasiadis, Silvio Gualdi, Antonio Trabucco, Valentina Mereu, Vakhtang Shelia, Gerrit Hoogenboom

{"title":"Using ENSO conditions to optimize rice yield for Nepal’s Terai","authors":"Prakash K. Jha, Panos Athanasiadis, Silvio Gualdi, Antonio Trabucco, Valentina Mereu, Vakhtang Shelia, Gerrit Hoogenboom","doi":"10.3354/cr01699","DOIUrl":"https://doi.org/10.3354/cr01699","url":null,"abstract":"ABSTRACT: The direct application of forecasts from seasonal prediction systems (SPSs) in agriculture is limited by their skill, and SPSs are more skilled at El Niño-Southern Oscillation (ENSO) prediction than precipitation prediction. An alternative to the direct application of forecasts from SPSs could be to link the forecast of ENSO conditions with dynamic crop models to evaluate alternate crop management options prior to the start of the actual planting. Although potential benefits of this approach have been tested in many areas of the world, so far limited evidence exists regarding its application in Nepal’s Terai region. The overall goal of this study was to determine the potential relationship between ENSO and summer monsoon precipitation over Nepal’s Terai and ascertain SPSs’ skill in predicting ENSO. This analysis included disentangling the relative contribution of precipitation to interannual variability in rice yield from other factors using a cropping system model, namely, the Crop Environment Resource Synthesis-Rice (CSM-CERES-Rice). The crop model was also employed to explore options for increasing rice yield and minimizing risk by adjusting crop management. This study found that precipitation was the main variable affecting interannual variability in rice yield, that SPSs are good at predicting ENSO, and that the ENSO signal can be used to predict seasonal precipitation anomalies in the study area in all years except ENSO neutral years. Prior knowledge of seasonal precipitation anomalies can then be used to optimize rice yield using a crop model, and ultimately to assist farmers with decision making.","PeriodicalId":10438,"journal":{"name":"Climate Research","volume":"129-132 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138530461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pandemic shows that global climate and biodiversity science assessments need to be annual 《流行病》表明，全球气候和生物多样性科学评估需要每年进行一次

IF 1.1 4区地球科学

Climate Research Pub Date : 2022-04-21 DOI: 10.3354/cr01695

M. Costello, KS Kelly

引用次数: 0

Sustainable management of populations impacted by harvesting and climate change 对受采伐和气候变化影响的人口进行可持续管理

IF 1.1 4区地球科学

Climate Research Pub Date : 2022-01-13 DOI: 10.3354/cr01688

N. Stenseth, R. Ims, B. Sæther, L. Cadahía, I. Herfindal, A. Lee, JD Whittington, N. Yoccoz

{"title":"Sustainable management of populations impacted by harvesting and climate change","authors":"N. Stenseth, R. Ims, B. Sæther, L. Cadahía, I. Herfindal, A. Lee, JD Whittington, N. Yoccoz","doi":"10.3354/cr01688","DOIUrl":"https://doi.org/10.3354/cr01688","url":null,"abstract":"The sustainable use of natural resources is critical for addressing the global challenges of today. Strategies for sustainable harvesting need to consider not only harvested species, but also other non-harvested species interacting with them in the same ecosystem. In addition, environmental variation needs to be considered, with climate change currently being one of the main sources of this variation. Understanding the consequences of complex interactions between different drivers and processes affecting dynamics of species and ecosystems across spatial scales requires large-scale integrative research projects. The Norwegian research initiative “Sustainable management of renewable resources in a changing environment: an integrated approach across ecosystems” (SUSTAIN) was launched to fill knowledge gaps related to the sustainable management of populations and ecosystems experiencing climate change. SUSTAIN investigated terrestrial, marine and freshwater ecosystems in boreal and Arctic regions, using both theoretical developments and empirical analyses of long-term data. This Climate Research Special contains both synthesis articles and original research exemplifying some of the approaches used in SUSTAIN. In this introduction we highlight 4 key topics addressed by SUSTAIN: (i) population structure, (ii) interactions between species, (iii) spatial processes, and (iv) adaptive management. These topics are fundamental to the understanding of harvested species from an ecosystem perspective, and to ecosystem-based management approaches, which we are striving to work towards.","PeriodicalId":10438,"journal":{"name":"Climate Research","volume":"26 35","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72387558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0