Biogenic emissions and secondary organic aerosols (SOA) are strongly dependent on climatic conditions. To understand the SOA levels and their sensitivity to future climate change in the United States (U.S.), we present amodelingworkwith the consideration of SOA formation from the oxidation of biogenic emissions with atmospheric oxidants (e.g., OH, O3, and NO3). The model simulation for the pres...

This work presents new climate and emissions scenarios to investigate changes on future meteorology air quality in the U.S. Here, we employ a dynamically downscaled Weather Research Forecasting model coupled with chemistry (WRF/Chem) simulations that use two Intergovernmental Panel Climate Change (i.e., A1B B2) integrated explicitly projected from novel Technology Driver Model (TDM). The 2046–2...

We used the ̳Radiative-Convective Model of the Earth-atmosphere system‘ (OGIM) to investigate the cooling effects induced by sulphur injections into the stratosphere. The ensemble of numerical calculations was based on the A1B scenario from the IPCC Special Report on Emissions Scenarios (SRES). Several geoengineered scenarios were analysed, including the abrupt interruption of these injections ...

The paradigm of integrated water resources management requires coupled analysis of hydrology and water resources in a river basin. Population growth and uncertainties due to climate change make historic data not a reliable source of information for future planning of water resources, hence necessitating climate and landuse change impact studies. This work presents an integrated modeling approac...

The aim of this study is to investigate climate change impact on Karoon3 basin in future periods. For this purpose, the simulated precipitation of 10 AOGCM models, including BCM2.0, CGCM3T63, CNRMCM3, CSIROMK3.0, GFDLCM2.0, GISS-ER, HADCM3, INMCM3.0, IPSLCM4, MIROC3.2 MEDRES was used to simulate drought index. Monthly precipitation was calculated by inverse distance weighted method. Standard Pr...

This study employed the Soil and Water Assessment Tool (SWAT) to evaluate the impacts of projected future climate change scenarios on water balance, runoff, sediment, total nitrogen (N), and total phosphorus (P) at the field scale for four locations in the Heartland region: Sioux City (Iowa) and Columbus, Mullen, and Harrison (Nebraska). A conventional two-year corn-soybean rotation was assumed...

[1] Hydrologic impacts of climate change are usually assessed by downscaling the General Circulation Model (GCM) output of large-scale climate variables to local-scale hydrologic variables. Such an assessment is characterized by uncertainty resulting from the ensembles of projections generated with multiple GCMs, which is known as intermodel or GCM uncertainty. Ensemble averaging with the assig...

Predicting long-term consequences of climate change on hydrologic processes has been limited due to the needs to accommodate the uncertainties in hydrological measurements for calibration, and to account for the uncertainties in the models that would ingest those calibrations and uncertainties in climate predictions as basis for hydrological predictions. We implemented a hierarchical Bayesian (...