Results Brainstorming sessions identified the PRECIS presentation (a wheel), lack of a scoring system and domain weighting as issues for exploration in the Delphi process. Thirty four completed responses from 90 invitees were received in Round 1 of the Delphi; Round 2 involved 23 individuals (response rate 82%). 45% selected a 1-5 Likert scale, 56.5% wanted to use a table (to justify decisions)...

We present probabilistic projections of 21st century climate change over Northern Eurasia using the Massachusetts Institute of Technology (MIT) Integrated Global System Model (IGSM), an integrated assessment model that couples an Earth system model of intermediate complexity with a two-dimensional zonal-mean atmosphere to a human activity model. Regional climate change is obtained by two downsc...

The recent development of regional climate models which can potentially produce long-term (multi-year to multi-decadal) simulations at high spatial resolution (5-50 km), opens a range of possibilities for interactive coupling with ecosystem, hydrology, ocean-sea-ice and chemistry models on the regional scale. Such coupling offers two primary advantages: (1) It is accomplished at scales more con...

[1] Impact of climate change on streamflow in the Upper Mississippi River Basin is evaluated by use of a regional climate model (RCM) coupled with a hydrologic model, Soil and Water Assessment Tool (SWAT). The RCM we used resolves, at least partially, some fine-scale dynamical processes that are important contributors to precipitation in this region and that are not well simulated by global mod...

Maps of interpolated climate normals have recently become essential tools for many types of forestry research, such as studying genetic adaptation of trees to local environments, modeling species ranges shifts, or forest productivity under climate change scenarios. In this paper, we evaluate two widely used climate models for British Columbia with respect to their general precision and regional...

The regional models of yield response to temperature (minimum, maximum and its diurnal range) and precipitation developed for meteorological (met) sub-divisions of India were used to study the impact of future climate change on major food crops viz. wheat, rice, potato and rapeseed-mustard. The area weighted averages of district-wise crop yield data were computed at met sub-division level for 1...

We present the detection of the signatures of land use/land cover (LULC) changes on the regional climate of the US High Plains. We used the normalized difference vegetation index (NDVI) as a proxy of LULC changes and atmospheric CO2 concentrations as a proxy of greenhouse gases. An enhanced signal processing procedure was developed to detect the signatures of LULC changes by integrating autoreg...

the present study modeled how future terrestrial net primary productivity (npp) changes spatiotemporally for the eastern mediterranean biomes of turkey using carnegie ames stanford approach (casa) model, moderate resolution imaging spectroradiometer (modis) data, the four regional climate change scenarios (rcp 2.6, rcp 4.5, rcp 6.0 and rcp 8.5), and such ancillary data as percent tree cover, la...

Regional or local climate change modeling studies currently require starting with a global climate model, then downscaling to the region of interest. How should global models be chosen for such studies, and what effect do such choices have? This question is addressed in the context of a regional climate detection and attribution (D&A) study of January-February-March (JFM) temperature over the w...