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A New Method for Temperature Spatial Interpolation Based on Sparse Historical Stations
Publisher: American Meteorological Society
Abstract: AbstractLong-term grid historical temperature datasets are the foundation of climate change research. Datasets developed by traditional interpolation methods usually contain data for a period of less than 50 yr, with a ...
Estimation of Uncertainty in Temperature Observations Made at Meteorological Stations Using a Probabilistic Spatiotemporal Approach
Publisher: American Meteorological Society
Abstract: probabilistic spatiotemporal approach based on a spatial regression test (SRT-PS) is proposed for the quality control of climate data. It provides a quantitative probability that represents the uncertainty in each temperature ...
Interpolation of Missing Temperature Data at Meteorological Stations Using P-BSHADE
Publisher: American Meteorological Society
Abstract: ome climate datasets are incomplete at certain places and times. A novel technique called the point estimation model of Biased Sentinel Hospitals-based Area Disease Estimation (P-BSHADE) is introduced to interpolate missing ...