Simplifications used in regional climate models decrease the accuracy of the regional climate models. To overcome this deficiency, usually a statistical technique of MOS is used to improve the skill of gridded outputs of the Numerical Weather Prediction (NWP) models. In this paper, an experimental synoptic-climatology based method has been used to calibrate, and decrease amount of errors in GFS...

Goals of the Crop Modelers during this Workshop: 1) to calibrate and intercompare multiple crop models (APSIM, DSSAT, INFOCROP, and STICS) against rice and wheat data at sites in South Asia, 2) to simulate growth and yield sensitivity of those four crop models for rice and wheat to temperature and carbon dioxide levels, and 3) to demonstrate the process of predicting district-level yield of pea...

In order to fully utilize remote sensing to inventory crop production, it is important to identify the factors that affect the accuracy of Landsat classifications. The objective of this study was to investigate the effect of scene characteristics involving crop, soil, and weather variables on the accuracy of Landsat classifications of corn and soybeans. Segments sampling the U.S. Corn Belt were...

Crop growth and productivity are determined by a large number of weather, soil and management variables, which vary significantly across space. Remote Sensing (RS) data, acquired repetitively over agricultural land help in identification and mapping of crops and also in assessing crop vigour. As RS data and techniques have improved, the initial efforts that directly related RS-derived vegetatio...

An understanding of convective weather impacts on en route airspace capacity is a first step toward development of predictive tools to support both tactical and strategic routing decisions in storm-impacted airspace. This study presents a model for traffic reductions in en route sectors that result from convective weather impacts. A model to predict the impact of convective weather on en route ...

The Mind Weave weather model is designed to loosely model real world weather systems while allowing magic to affect parameters of the model. The Mind Weave magic system can effect changes in atmospheric moisture, temperature, and winds. The purpose of this paper is to analyze the behavior of this weather model and produce correlation matrices that help us to predict how a spell cast by a mage w...

The yield estimation models on a regional scale are generally constrained by the lack of spatially distributed information on major environmental. The utilization of remote sensing data with various spatial and temporal resolutions can settle this problem. The NDVI, which retrieved from satellite remote sensing, was adopted to forecast winter wheat yields in this paper. There are two key steps ...

Background: The role of temperature changes, as an environmental risk factor, in the human health status has been investigated in recent studies. Accordingly, the present two-year study was conducted to evaluate the incidence of myocardial infarction (MI) in warm and cold seasons in Ali-ibn Abi Talib Hospital, Rafsanjan, Iran. Materials and Methods: In this descriptive and cross-sectional st...

We investigate the error growth, that is, the growth in the distance E between two typical solutions of a weather model. Typically E grows until it reaches a saturation value E(s). We find two distinct broad log-linear regimes, one for E below 2% of E(s) and the other for E above. In each, log (E/E(s)) grows as if satisfying a linear differential equation. When plotting d log(E)/dt vs log(E), t...

We show how yield shocks (deviations from a time trend), which are likely attributable to random weather fluctuations, can facilitate estimation of both demand and supply elasticities of agricultural commodities. We identify demand using current-period shocks that give rise to exogenous shifts in supply. We identify supply using past yield shocks, which affect current expected price through inv...