Journal of Hyperspectral Remote Sensing · 2018 · 23 citations · 0 references
Natural SciencesEarth SciencesMeteorologyClimatologySpatial ModelingSpatial StatisticsClimate Data AnalysisClimate ModelingPhysical ClimatologyRegional ClimateRegional ClimatologySpatial InterpolationCloud Cover ObservationKrigingKriging InterpolationMeteorological Data AnalysisRegional Climate AnalysisSeasonal InsolationSpatial Climate AnalysisSpatial Climate Interpolation
The objective of this study was to characterize the climatic conditions of insolation in the State of Pernambuco through interpolation, elaborating maps representative of the monthly and annual distribution, besides the low variability and high insolation by the kriging method for the period 1962 to 2016. The data of insolation used Were provided by the National Institute of Meteorology (INMET), comprising the same period of study. The development of this paper was based on simplified statistical data for eight municipalities that compose the INMET meteorological network. The records indicate the incidence of sunshine above normal patterns in the hinterland and high sertão, conditioned by low cloud cover, temperature fluctuations above normal and occurrences of fires. The method of interpolation of the insolation data by the kriging model indicated optimal levels of significance when extended to the other regions of Pernambuco showing similar climatic conditions to the values used of the stations worked. The kriging of monthly and annual insolation data and the low and high sunshine months served to compose the spatial distribution maps being an alternative to generate reliable estimates with maps of greater representativity.