Timing and spatial patterns of basin segmentation and climate change in northeastern Tibet

2014 ◽  
Author(s):  
Brian G. Hough ◽  
Carmala N. Garzione ◽  
Zhicai Wang ◽  
Richard O. Lease
Keyword(s):  
Climate Change ◽  
Spatial Patterns ◽  
Northeastern Tibet

scholarly journals Predicting Climate Change Using Response Theory: Global Averages and Spatial Patterns

2016 ◽  
Vol 166 (3-4) ◽  
pp. 1036-1064 ◽  
Author(s):  
Valerio Lucarini ◽  
Francesco Ragone ◽  
Frank Lunkeit
Keyword(s):  
Climate Change ◽  
Spatial Patterns ◽  
Response Theory

Are large scale models useful? A case of nested model domains for assessing current and future stream runoff and sediments

2021 ◽  
Author(s):  
Alena Bartosova ◽  
Berit Arheimer ◽  
Alban de Lavenne ◽  
René Capell ◽  
Johan Strömqvist
Keyword(s):  
Climate Change ◽  
Spatial Patterns ◽  
Large Scale ◽  
Aridity Index ◽  
Global Climate Models ◽  
Hydrological Models ◽  
Nested Model ◽  
Nested Models ◽  
Changing Climate ◽  
Scale Models

<p>Continental and global dynamic hydrological models have emerged recently as tools for e.g. flood forecasting, large-scale climate impact analyses, and estimation of time-dynamic water fluxes into sea basins. One such tool is a dynamic process-based rainfall-runoff and water quality model Hydrological Predictions for Environment (HYPE). We present and compare historical simulations of runoff, soil moisture, aridity, and sediment concentrations for three nested model domains using global, continental (Europe), and national (Sweden) catchment-based HYPE applications. Future impacts on hydrological variables from changing climate were then assessed using the global and continental HYPE applications with ensembles based on 3 CMIP5 global climate models (GCMs).</p><p>Simulated historical sediment concentrations varied considerably among the nested models in spatial patterns while runoff values were more similar. Regardless of the variation, the global model was able to provide information on climate change impacts comparable to those from the continental and national models for hydrological indicators. Output variables that were calibrated, e.g. runoff, were shown to result in more reliable and consistent projected changes among the different model scales than derived variables such as the actual aridity index. The comparison was carried out for ensemble averages as well as individual GCMs to illustrate the variability and the need for robust assessments.</p><p>Global hydrological models are shown to be valuable tools for e.g. first screenings of climate change effects and detection of spatial patterns and can be useful to provide information on current and future hydrological states at various domains. The challenge is (1) in deciding when we should use the large-scale models and (2) in interpreting the results, considering the uncertainty of the model results and quality of data especially at the global scale. Comparison across nested domains demonstrates the significance of scale which needs to be considered when interpreting the impacts alongside with model performance.</p><p>Bartosova et al, 2021: Large-scale hydrological and sediment modeling in nested domains under current and changing climate. Accepted to Special Issue Journal of Hydraulic Engineering.</p>

scholarly journals Mapping Transboundary Climate Change Risk: the case study of the Trinational Metropolitan Area Upper Rhine Area

2021 ◽  
Author(s):  
Nils Riach ◽  
Nicolas Scholze ◽  
Rüdiger Glaser
Keyword(s):  
Climate Change ◽  
Spatial Patterns ◽  
Composite Index ◽  
Climate Scenario ◽  
Metropolitan Region ◽  
Data Sets ◽  
Climate Change Risk ◽  
Economic Dimension ◽  
Upper Rhine

Abstract. In this study we examine the spatial patterns of risk towards climate change and climatic extremes in the “Trinational Metropolitan Region Upper Rhine” (TMU). Following the concept of risk analysis, we identify the regional dimension of climatic stressors in relation to the socio-economic dimension. We present an indicator-based assessment, which operationalizes risk as a product of its subcomponents climatic stressors, spatial occurrence, sensitivity and impact.We map them individually and aggregate them into a composite index. We also address the specific challenges of the trinational situation, which has an impact on the availability, homogeneity and resolution of comparable data sets. We show that risk can be approximated and mapped despite the uncertainties and additionally we explore to what extent the subcomponents contribute to the overall index. The results show differentiated spatial patterns of risk with cross-border clusters i.e. transnational corridors. Risk is amplified depending on the driving climate scenario for 2021–2050, 2041–2070 and 2071–2100, and increases during the course of the century, especially in the transnational metropolitan corridors of the TMU. Further focus on transnational spatial planning and cooperation is needed in future adaption research and practice.

Spatial patterns and drivers of fire occurrence and its future trend under climate change in a boreal forest of Northeast China

2012 ◽  
Vol 18 (6) ◽  
pp. 2041-2056 ◽  
Author(s):  
Zhihua Liu ◽  
Jian Yang ◽  
Yu Chang ◽  
Peter J. Weisberg ◽  
Hong S. He
Keyword(s):  
Climate Change ◽  
Boreal Forest ◽  
Spatial Patterns ◽  
Northeast China ◽  
Future Trend ◽  
Fire Occurrence
Sign in / Sign up

Export Citation Format

Share Document