Model assessments and future projections of spring climate extremes in China based on CMIP6 models

2021 ◽  
Author(s):  
Yawen Ai ◽  
Huopo Chen ◽  
Jianqi Sun
Keyword(s):  
Climate Extremes ◽  
Future Projections

Corrigendum to “Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan” [Atmospheric Research 222 (2019) 114–133]

2019 ◽  
Vol 224 ◽  
pp. 196
Author(s):  
Shaukat Ali ◽  
Hyung-Il Eum ◽  
Jaepil Cho ◽  
Li Dan ◽  
Firdos Khan ◽  
...  
Keyword(s):  
Statistical Downscaling ◽  
Climate Extremes ◽  
Future Projections ◽  
Atmospheric Research

scholarly journals Assessing trends in observed and modelled climate extremes over Australia in relation to future projections

2009 ◽  
Vol 29 (3) ◽  
pp. 417-435 ◽  
Author(s):  
Lisa V. Alexander ◽  
Julie M. Arblaster
Keyword(s):  
Climate Extremes ◽  
Future Projections

Assessment of climate extremes in future projections downscaled by multiple statistical downscaling methods over Pakistan

2019 ◽  
Vol 222 ◽  
pp. 114-133 ◽  
Author(s):  
Shaukat Ali ◽  
Hyung-Il Eum ◽  
Jaepil Cho ◽  
Li Dan ◽  
Firdos Khan ◽  
...  
Keyword(s):  
Statistical Downscaling ◽  
Climate Extremes ◽  
Future Projections

Transient high-resolution regional climate simulation for Greece over the period 1960-2100: evaluation and future projections

2015 ◽  
Vol 64 (2) ◽  
pp. 123-140 ◽  
Author(s):  
P Zanis ◽  
E Katragkou ◽  
C Ntogras ◽  
G Marougianni ◽  
A Tsikerdekis ◽  
...  
Keyword(s):  
High Resolution ◽  
Regional Climate ◽  
Climate Simulation ◽  
Regional Climate Simulation ◽  
Future Projections

Ecological niche modelling of cold-water corals in the Southern Ocean (N Antarctic), present distribution and future projections due to temperature changes

2019 ◽  
Vol 628 ◽  
pp. 73-93
Author(s):  
S Chaabani ◽  
PJ López-González ◽  
P Casado-Amezua ◽  
H Pehlke ◽  
L Weber ◽  
...  
Keyword(s):  
Southern Ocean ◽  
Ecological Niche ◽  
Cold Water ◽  
Ecological Niche Modelling ◽  
Niche Modelling ◽  
Future Projections ◽  
Temperature Changes ◽  
Present Distribution

Changes in climate extremes in Vietnam

2017 ◽  
Vol 59 (1) ◽  
pp. 79-87
Author(s):  
Van Thang Nguyen ◽  
Van Khiem Mai ◽  
Van Thang Vu ◽  
Dang Mau Nguyen ◽  
Ngoc Bich Phuong Nguyen ◽  
...  
Keyword(s):  
Climate Extremes

scholarly journals The Rise of Climate-Driven Sediment Discharge in the Amazonian River Basin

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 208 ◽  
Author(s):  
Nazzareno Diodato ◽  
Naziano Filizola ◽  
Pasquale Borrelli ◽  
Panos Panagos ◽  
Gianni Bellocchi
Keyword(s):  
River Basin ◽  
Amazon Basin ◽  
Global Climate ◽  
Climate Extremes ◽  
Temporal Variations ◽  
Sediment Discharge ◽  
Storm Events ◽  
Discharge Data ◽  
Magdalena River ◽  
Sediment Export

The occurrence of hydrological extremes in the Amazon region and the associated sediment loss during rainfall events are key features in the global climate system. Climate extremes alter the sediment and carbon balance but the ecological consequences of such changes are poorly understood in this region. With the aim of examining the interactions between precipitation and landscape-scale controls of sediment export from the Amazon basin, we developed a parsimonious hydro-climatological model on a multi-year series (1997–2014) of sediment discharge data taken at the outlet of Óbidos (Brazil) watershed (the narrowest and swiftest part of the Amazon River). The calibrated model (correlation coefficient equal to 0.84) captured the sediment load variability of an independent dataset from a different watershed (the Magdalena River basin), and performed better than three alternative approaches. Our model captured the interdecadal variability and the long-term patterns of sediment export. In our reconstruction of yearly sediment discharge over 1859–2014, we observed that landscape erosion changes are mostly induced by single storm events, and result from coupled effects of droughts and storms over long time scales. By quantifying temporal variations in the sediment produced by weathering, this analysis enables a new understanding of the linkage between climate forcing and river response, which drives sediment dynamics in the Amazon basin.

scholarly journals The Role of Extension and Advisory Services in Strengthening Farmers’ Innovation Networks to Adapt to Climate Extremes

2021 ◽  
Vol 13 (4) ◽  
pp. 1941
Author(s):  
Md Kamruzzaman ◽  
Katherine Anne Daniell ◽  
Ataharul Chowdhury ◽  
Steven Crimp
Keyword(s):  
Information Access ◽  
Significant Risk ◽  
Climate Extremes ◽  
Rice Cultivation ◽  
Innovation Networks ◽  
Flash Flooding ◽  
Research Organizations ◽  
Local Input ◽  
Local Weather

There is anecdotal evidence of the effectiveness of Extension and Advisory Service (EAS) agencies for strengthening innovation networks to adapt to extreme events that impact agricultural production and productivity. In Bangladesh, the Department of Agricultural Extension (DAE) is responsible for ensuring sustainable rice farming, which is damaged by flash flooding every year. This study investigates how EAS can strengthen farmers’ innovation networks by examining DAE’s efforts to adapt rice cultivation to flash flooding. Using surveys and interviews from farmers affiliated with DAE (DAE-farmers) and farmers independent of DAE (non-DAE farmers), the effectiveness of innovation networks was examined. One of the key findings of this paper is that DAE’s efforts to strengthen the innovation networks of farmers to adapt rice cultivation to flash flooding focused on the facilitation of the agronomic network development. The organization missed the opportunity to enable the harvesting networks’ efficacy. As the harvesting activities are highly exposed to flash flooding, the absence of adequate support from the DAE and timely updates of local weather and flash flooding information indicates that farmers are still at significant risk. This study also shows the value of including both formal (e.g., EAS agencies, research organizations) and informal actors (e.g., relatives, local input dealers) in the innovation network as a way of ensuring diversity of information access.

scholarly journals Vegetation Change and Its Response to Climate Extremes in the Arid Region of Northwest China

2021 ◽  
Vol 13 (7) ◽  
pp. 1230
Author(s):  
Simeng Wang ◽  
Qihang Liu ◽  
Chang Huang
Keyword(s):  
Arid Region ◽  
Vegetation Change ◽  
Vegetation Index ◽  
Pearson Correlation ◽  
Time Lag ◽  
Climate Extremes ◽  
Northwest China ◽  
Precipitation Extremes ◽  
Temperature Extremes ◽  
Increasing Trend

Changes in climate extremes have a profound impact on vegetation growth. In this study, we employed the Moderate Resolution Imaging Spectroradiometer (MODIS) and a recently published climate extremes dataset (HadEX3) to study the temporal and spatial evolution of vegetation cover, and its responses to climate extremes in the arid region of northwest China (ARNC). Mann-Kendall test, Anomaly analysis, Pearson correlation analysis, Time lag cross-correlation method, and Least absolute shrinkage and selection operator logistic regression (Lasso) were conducted to quantitatively analyze the response characteristics between Normalized Difference Vegetation Index (NDVI) and climate extremes from 2000 to 2018. The results showed that: (1) The vegetation in the ARNC had a fluctuating upward trend, with vegetation significantly increasing in Xinjiang Tianshan, Altai Mountain, and Tarim Basin, and decreasing in the central inland desert. (2) Temperature extremes showed an increasing trend, with extremely high-temperature events increasing and extremely low-temperature events decreasing. Precipitation extremes events also exhibited a slightly increasing trend. (3) NDVI was overall positively correlated with the climate extremes indices (CEIs), although both positive and negative correlations spatially coexisted. (4) The responses of NDVI and climate extremes showed time lag effects and spatial differences in the growing period. (5) Precipitation extremes were closely related to NDVI than temperature extremes according to Lasso modeling results. This study provides a reference for understanding vegetation variations and their response to climate extremes in arid regions.

scholarly journals Future projections for terrestrial biomes indicate widespread warming and moisture reduction in forests up to 2100 in South America

2021 ◽  
pp. e01441
Author(s):  
Luciano J.S. Anjos ◽  
Everaldo Barreiros de Souza ◽  
Calil Torres Amaral ◽  
Tassio Koiti Igawa ◽  
Peter Mann de Toledo
Keyword(s):  
South America ◽  
Future Projections ◽  
Terrestrial Biomes
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