Spatial interpolation techniques: their applications in regionalizing climate-change series and associated accuracy evaluation in Northeast China
An accurate gridded climatological temperature data-set can be a reliable basis for studying the issues that concern climate change, natural disasters, among others. In this study, the climate standard value data and annual observed data collected by 104 meteorological sites in Northeast China from...
Main Authors: | Sining Chen, Jun Guo |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2017-12-01
|
Series: | Geomatics, Natural Hazards & Risk |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/19475705.2016.1255669 |
Similar Items
-
Spatial and Temporal Analysis of Extreme Climate Events over Northeast China
by: Xingyang Yu, et al.
Published: (2022-07-01) -
Trends and climate response in the yield of staple crops across Northeast China
by: Dengpan Xiao, et al.
Published: (2024-01-01) -
Aboveground biomass of marshes in Northeast China: Spatial pattern and annual changes responding to climate change
by: Yongxing Ren, et al.
Published: (2022-11-01) -
Comparison and Assessment of Different Land Cover Datasets on the Cropland in Northeast China
by: Peipei Cui, et al.
Published: (2023-10-01) -
Effects of Changing Climate Extremes on Maize Grain Yield in Northeast China
by: Meiqi Dong, et al.
Published: (2023-04-01)