For reliable prediction of sediment yield in a watershed, fine-scale projections for hydro-climate components were first obtained using the statistical bias correction and downscaling scheme based on the combination of an Artificial Neural Network (ANN), Nonstationary Quantile Mapping (NSQM) and Stochastic Typhoon Synthesis (STS) sub-modules. Successively, the hydrologic runoff and sediment yie...

[1] Simulations with the CAM3 climate model show that prescribed heating by anthropogenic aerosols significantly affects cloud cover. Globally the dominant effect is a decrease in mid‐level clouds, which contributes to a semi‐ direct effect (SDE) that warms the surface by 0.5 W m. The SDE negates some of the impact of absorbing aerosol on surface fluxes, up to 50% over the Northern Hemisphere e...

[1] Quantifying uncertainty in regional climate change projections is important for a range of reasons. We examine the sensitivity of regional climate change probabilities to various uncertainties. We use a simple probabilistic energy balance model that samples uncertainty in greenhouse gas emissions, the climate sensitivity, the carbon cycle, ocean mixing, and aerosol forcing. We then propagat...

The phase relationships of the western North Pacific (WNP) summer monsoon (WNPM) with the Australian monsoon (AM) and Indian monsoon (IM) are investigated using observational rainfall, SST, and NCEP reanalysis data for the period of 1979–2005. It is found that a strong WNPM often follows a strong AM but leads a weak AM, and a significant simultaneous negative correlation appears between WNPM an...

Abstract. The Community Climate Model (CCM3) from the National Center for Atmospheric Research (NCAR) is used to investigate the effect of the South Atlantic sea surface temperature (SST) anomalies on interannual to decadal variability of South American precipitation. Two ensembles composed of multidecadal simulations forced with monthly SST data from the Hadley Centre for the period 1949 to 20...

The modulation with magnetic field of the sheet inductance measured on proximity effect Josephson-junction arrays (JJAs) is progressively vanishing on lowering the temperature, leading to a low-temperature field-independent response. This behaviour is consistent with the decrease of the two-dimensional penetration length below the lattice parameter. Low-temperature data are quantitatively compa...

Quantum Systems modeling and simulation activity is a challenging research area. Several models and applications were proposed in the past with different approaches. Special purposes models based on Cellular Automata (CA) paradigm were studied as the classical CA present limits in quantum system characterization. In this paper we derive a basic qualitative model, according to the Cellular Autom...

Abstract Background Climate change poses severe threats to smallholder farmers' agricultural livelihoods and food security in Sub Saharan Africa. Understanding long-term rainfall trends of variability extremes at local scales perceptions regarding changes climate variables is important planning appropriate adaptation measures change. This paper examines the perception farmers Apac district anal...

A long-term context is important for understanding past climatic variability. Although tree-ring widths (TRWs) are widely used as a proxy reconstructing climate, the use of annually-resolved values δ13C and δ18O stable isotopes (TRSIs) increasing may provide further valuable information. Here, we present 487-year-long TRW chronology 240-year-long TRSI Bosnian pine (Pinus heldreichii H. Christ) ...

Abstract. We present an Arctic aerosol optical depth (AOD) climatology and trend analysis for 2003–2019 spring summertime periods derived from a combination of multi-agency reanalyses, remote-sensing retrievals, ground observations. This includes the U.S. Navy Aerosol Analysis Prediction System ReAnalysis version 1 (NAAPS-RA v1), NASA Modern-Era Retrospective Research Applications, 2 (MERRA-2),...