Virginia College Access Resource Study: Region One Report

This research brief shares the results of a MERC study commissioned by the State Council of Higher Education for Virginia (SCHEV) and supported by Virginia 529 about college access in central Virginia. The purpose of college access providers is discussed as well the current areas of need. A list of access providers in Virginia are listed at the end of the brief

Analyses of MAGSAT tracks crossing the study region in the Indian Ocean

Progress in software development and in preliminary analysis of MAGSAT tracks crossing the Indian Ocean is reported. Tracks crossing the Java Trench, Broken Ridge, the Southeast Indian Ridge, and the Ninetyeast Ridge show that magnetic anomalies correlate with some of these features. Preliminary study of anomaly profiles indicates that tracks of anomaly data (the observations minus a core field model) have a power spectrum decreasing as the inverse square of the spatial frequency. An apparent noise floor of about one to two gammas rms is reached at wavelengths of about 360 km, corresponding to approximately 10 samples of the decimated Investigator tape data at a sampling rate of approximately 4.9 sec/sample

European lessons for Green and Blue Services in The Netherlands

Green and Blue Services were developed in The Netherlands to reward farmers for the environmental services they provide to society. Especially the first initiatives were area specific, developed together with farmers and different from the national Agri-environmental scheme. In the PLUREL case study region Haaglanden, Green and Blue Services are seen as a strategy to strengthen agriculture in the urban fringe

Consumption Smoothing Across Space: Testing Theories of Risk-Sharing in the ICRISAT Study Region of South India

consumption smoothing, risk sharing, informal insurance, India

Characteristics of precipitation in the Santarém study region.

Abstract ID: 80. Publicado também on-line

Comparison of statistical and dynamical downscaling methods for seasonal-scale winter precipitation predictions over north India

The main aim of the present study is to analyse the capabilities of two downscaling approaches (statistical and dynamical) in predicting wintertime seasonal precipitation over north India. For this purpose, a canonical correlation analysis (CCA) based statistical downscaling approach and dynamical downscaling approach (at 30 km) with an optimized configuration of the regional climate model (RegCM) nested in coarse resolution global spectral model have been used for a period of 28 years (1982–2009). For CCA, nine predictors (precipitation, zonal and meridional winds at 850 and 200 hPa, temperature at 200 hPa and sea surface temperatures) over three different domains were selected. The predictors were chosen based on the statistically significant teleconnection maps and physically based relationships between precipitation over the study region and meteorological variables. The validation revealed that both the downscaling approaches provided improved precipitation forecasts compared to the global model. Reasons for improved prediction by downscaling techniques have been examined. The improvement mainly comes due to better representation of orography, westerly moisture transport and vertical pressure velocity in the regional climate model. Furthermore, two bias correction methods namely quantile mapping (QM) and mean bias-remove (MBR) have been applied on downscaled RegCM, statistically downscaled CCA as well as the global model products. It was found that when the QM-based bias correction is applied on dynamically downscaled RegCM products, it has better skill in predicting wintertime precipitation over the study region compared to the CCA-based statistical downscaling. Overall, the results indicate that the QM-based bias-corrected downscaled RegCM model is a useful tool for wintertime seasonal-scale precipitation prediction over north India.Peer reviewedFinal Accepted Versio

Physical oceanography

The physical oceanography component of the AMLR program provides information on the hydrography of the upper water column with the objective of assessing its influence on the observed distribution of krill (Euphausia superba). By making closely spaced CTD/rosette casts, the water masses of the Elephant Island region can be identified, and the mean current flow deduced. This component also records the meteorological and sea surface conditions continuously while the Surveyor is in the study region to study the effect of atmospheric conditions on the upper-water-layer structure. AMLR 1992 is the third field season for the collaboration of physical measurements with biological studies.Marine Scienc

Vegetation Within A Portion of the Copper-Nickel Study Region

Cluster analysis of data from 277 Braun-Blanquet releves differentiates 11 major forested communities in a 1,450 sq km area of northeastern Minnesota. Upland communities include black spruce-jack pine, jack pine, red pine, aspen-birch, aspen-birch-fir, and mixed conifer-deciduous. Forested wetland communities include black spruce, tamarack, cedar, ash, and alder carr. The greatest floristic differences are between those communities at opposite extremes of the moisture spectrum, and greatest similarities between red pine and aspen-birch-fir communities. Floristic similarities and differences are-reflected by the positions of communities in the synecological ·moisture nutrient field Structural differences between upland communities are more notable than floristic differences