Agios Mamas: A Curricular Study

1334 Words6 Pages

2.1 Study area
The impact of climate change on cotton yield was studied in Agios Mamas area in the prefecture of Chalkidiki in Northern Greece (Fig. 1). The study area was selected because of its meteorological station (40o15’, 23o20’) whose meteorological data were used in order to generate the climate change scenarios and to estimate the cotton yield in the study area. The study area is agricultural with irrigated regions. The area of Agios Mamas was also selected because its meteorological station allocates the following advantages: a) the most meteorological data in daily time step and b) it is located in low altitude and therefore describes better the conditions of irrigated regions as they are found in similar altitude and in close proximity …show more content…

This model has a surface grid whose spatial resolution is roughly 2.8 degrees lat/lon and 31 levels in the vertical. The ocean grid shares the same land mask as the atmosphere and there are 6 ocean grids underlying every atmospheric grid cell. The ocean resolution is therefore approximately 1.4 degrees in longitude and 0.94 degrees in latitude. This provides slightly better resolution of zonal currents in the Tropics, more nearly isotropic resolution at mid latitudes, and somewhat reduced problems with converging meridians in the Arctic. Data were downloaded in «NetCDF» format (Network Common Data Format) from the World Data Center for Climate (WDCC) (http://cera-www.dkrz.de/) and the «NetCDF4Excel» program (https://code.google.com/ p/netcdf4excel/source//NetCDF4 Excel_2007.xlsm) was used to convert the data files to the more conventional Excel format. The climate variables used from the model were, on a daily scale, maximum and minimum temperature (oK), specific humidity (kg/kg), eastward and northward wind (m/s), longwave and sortwave solar radiation (W/m2), and precipitation (kg/m2sec). The weather data were obtained from the General Circulation Model (GCM) CGCM3.1/T63 for two time periods of climate change, 2020-2050 under SRES B1 and 2070-2100 under SRES A2 and for the baseline period (1977-2000) for climate change impact

Open Document