Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia

Liu, De Li; Zuo, Heping

doi:10.1007/s10584-012-0464-y

Cited by 167 publications

(90 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Observed monthly precipitation and temperatures from meteorological stations of the study area for 1971–2000 were used for comparison of the downscaled climate models. GCMs data on the coarse resolution grids were spatially interpolated to each station using the inverse distance weighted, IDW, method using four native neighbors and Eq. .…”

Section: Methodsmentioning

confidence: 99%

Effectiveness of Soil and Water Conservation Practices Under Climate Change in the Gorganroud Basin, Iran

Azari

Saghafian

Moradi

et al. 2017

CLEAN Soil Air Water

View full text Add to dashboard Cite

Assessing the effectiveness of conservation practices under changed climatic conditions has proven to be invaluable in selecting the adaptation practices. Conservationists are concerned that past effective practices may no longer be effective in the future climate change. This research is aimed at assessing the effectiveness of soil and water conservation practices under future climate change, with respect to sediment yield leaving a watershed. For this purpose, the Soil and Water Assessment Tool, SWAT, was applied to simulate various climate change scenarios with three soil and water conservation practices to assess possible changes in stream flow, and sediment yield of the Gorganroud watershed in the northern part of Iran. Study results demonstrated that the impact of climate change in the increase of watershed sediment yield is more than the stream flow and varies from 35.9 to 47.7% for the period 2040-2069. Implementing conservation practices under climate change can reduce the sediment yield of watershed up to 7.2% and for the sub-basin scale up to 46.4%. Range management practices were found to be the most effective practice in the decrease of sediment at the sub-basin scale and porous gully plugs and terrace construction, the most effective at the watershed scale. The results indicate that soil and water conservation practices will be more effective at reducing sediment yields under anticipated future climates. Though, implementation of each conservation practice solely was not sufficient to compensate for climate change-driven increases in sediment yield. This study provides valuable information for watershed managers and decision makers regarding selection of soil and water conservation practices for adaptation to climate change.

show abstract

Section: Methodsmentioning

confidence: 99%

Effectiveness of Soil and Water Conservation Practices Under Climate Change in the Gorganroud Basin, Iran

Azari

Saghafian

Moradi

et al. 2017

CLEAN Soil Air Water

View full text Add to dashboard Cite

show abstract

“…Future time series of daily temperature, precipitation and solar radiation data for the study area were statistically downscaled from monthly gridded climate data (with the resolution of 2°×2.5°) obtained from the GISS-E2-H-CC (GE2) global circulation model (GCM), using NWAI-WG downscaling model (Liu and Zuo 2012). The spatial inverse distance-weighted (IDW) interpolation method was used to downscale gridded monthly data to sites, followed by biascorrection using qq-plotting approach by comparing observed and the GCM projected data for the period of 1960-1999.…”

Section: Future Climate Change Scenariosmentioning

confidence: 99%

Optimizing sowing window and cultivar choice can boost China’s maize yield under 1.5 °C and 2 °C global warming

Huang

Wang

et al. 2020

Environ. Res. Lett.

Self Cite

View full text Add to dashboard Cite

Climate change, with increased temperatures and varied rainfall, poses a great challenge to food security around the world. Appropriately assessing the impacts of climate change on crop productivity and understanding the adaptation potential of agriculture to climate change are urgently needed to help develop effective strategies for future agriculture and to maintain food security. In this study, we studied future maize yield changes under 1.5°C (2018-2037) and 2°C (2044-2063) warming scenarios and investigated the adaptation potential across China's Maize Belt by optimizing the sowing date and cultivar using the APSIM-Maize model. In comparison to the baseline scenario, under the 1.5°C and 2°C warming scenarios, we found that without adaptation, maize yields would increase in the relatively cool regions with a single-cropping system but decrease in other regions. However, in comparison with the baseline scenario, under the 1.5°C and 2°C warming scenarios with adaptation, maize yields would increase by 11.1%-53.9% across the study area. Across the maize belt, compared with the baseline scenario, under warming of 1.5°C, the potential sowing window would increase by 2-17 d, and under warming of 2°C, this sowing window would increase by 4-26 d. The optimal sowing window would also be significantly extended in the regions with single-cropping systems by an average of 10 d under the 1.5°C warming scenario and 12 d under the 2°C warming scenario. Latematuring cultivar achieved higher yield than early-middle maturing cultivars in all regions except the north part of Northeast China. Adjusting the sowing date by increasing growth-period precipitation contributed more (44.5%-96.7%) to yield improvements than shifting cultivars (0%-50.8%) and climate change (−53.1% to 23.0%) across all maize planting regions except in the wet southwestern parts of the maize belt. The differences among the maize planting regions in terms of high adaptation potential provide invaluable information for policymakers and stakeholders of maize production to set out optimized agricultural strategies to safeguard the supply of maize.

show abstract

“…For this reason and because we use only one GCM, we compare our results to regional predictions from the recently released Southwest Climate Assessment (Garfin et al 2013) to show that our choice is reasonable for this purpose (see Supplementary Online Material Table S1). Because the coarse resolution of CGCM2 (3.75°×3.75°) is inappropriate for predictions at regional and local scales where assessment and societal response to change is needed (Forbes et al 2011;Xu 1999), we used statistical downscaling (Liu and Zuo 2012;Wilby et al 2002) to generate input for our hydrologic model.…”

Section: Deriving Scenarios Of Future Climate and Downscalingmentioning

confidence: 99%

Modelling potential impacts of climate change on water and nitrate export from a mid-sized, semiarid watershed in the US Southwest

Grimm

2013

Climatic Change

View full text Add to dashboard Cite

The impacts of climate change on water and nitrogen cycles in arid central Arizona (USA) were investigated by integrating the Second Generation Coupled Global Climate Model (CGCM2) and a widely used, physical process-based model, Soil and Water Assessment Tool (SWAT). With statistically downscaled daily climate data from the CGCM2 as model input, SWAT predicted increased potential evapotranspiration and decreased surface runoff, lateral flow, soil water, and groundwater recharge, which suggests serious consequences for the water cycle in this desert catchment in the future. Specifically, stream discharge is projected to decrease by 31 % in the 2020s, 47 % in the 2050s, and 56 % in the 2080s compared to the mean discharge for the base period (0.73 m 3 /s). A flowduration analysis reveals that the projected reduction of stream discharge in the future is attributable to significant decreases in mid-range and low-flow conditions; however, flood peaks would show a slight increase in the future. The drier and hotter future also will decrease the rate of nitrogen mineralization in the catchment and ultimately, nitrate export from the stream. Since mean mineralization rate would decrease by 15 % in the 2020s, 28 % in the 2050s, and 35 % in the 2080s compared to the based period (9.3 g N ha −1 d −1 ), the combined impact of reduced catchment mineralization and reduced streamflow would predict declining nitrate export: from today's mean value of 30 kg N/d, to 20, 15 and 12 kg N/d by the 2020s, 2050s, and 2080s, respectively.

show abstract

Statistical downscaling of daily climate variables for climate change impact assessment over New South Wales, Australia

Cited by 167 publications

References 35 publications

Effectiveness of Soil and Water Conservation Practices Under Climate Change in the Gorganroud Basin, Iran

Effectiveness of Soil and Water Conservation Practices Under Climate Change in the Gorganroud Basin, Iran

Optimizing sowing window and cultivar choice can boost China’s maize yield under 1.5 °C and 2 °C global warming

Modelling potential impacts of climate change on water and nitrate export from a mid-sized, semiarid watershed in the US Southwest

Contact Info

Product

Resources

About