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Representativeness Evaluation of China National Climate Reference Station Network

This study assesses the representativeness of China's climate reference station network for effective climate change monitoring, focusing on spatial distribution, elevation, and climate zoning. Results guide network optimization.

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Representativeness Evaluation of China National Climate Reference Station Network

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  1. Representativeness Evaluation of China National Climate Reference Station Network Jianxia Guo1, Ling Chen2, Haihe Liang1, Xin Li3 1. Meteorological Observation Center of CMA, Beijing, China; 2. School of Geography, Beijing Normal University, Beijing, China; 3. Nanjing University of Information Science & Technology, Nanjing, China

  2. outline • Motivation • Data and Methods • Results • Conclusions • Discussions

  3. Motivation • Climate change monitoring needs high quality and good representative data. • Reviewing and assessing the representativeness of the CRN timely is very important to persist the long-term observing network. • In this paper, we just focus on the spatial representative related to the climate zoning, underlying surface, station elevation, homogeneous grids et al. The results are expected to provide a guidance to remedy and optimize the current climate reference network.

  4. Data and Methods • Data • China climate zoning map (Yan Hong et al, 2002), • Land use type (1-km resolution), • Geographical elevation (1-km resolution), • Daily temperature records of CRN. • Methods • Spatial information was integrated by the tool of geographic information system (GIS) • The indicators of climate zoning and the statistical results of temperature records of recent decade are compared, to judge the climate representativeness of a given station.

  5. Results • Spatial distributionhomogeneous • Distribution in different grades of climate zoning • Underlying surface representativeness • Elevation representativeness • Climate representativeness

  6. Spatial distribution homogeneous Fig.1 The distribution of national climate reference stations in 2.5°×2.5° grids

  7. Climate zoning----climate belts

  8. Climate zoning---- climate sub-zone

  9. Climate zoning---- climate regions

  10. Underlying surface representativeness

  11. Elevation representativeness

  12. 89% of stations distributed in area <2000m (68%), 11% of stations in 32% area (≥2000m )

  13. Climate representativeness 19 out of 143 stations have not hold the representative feature of the climate belt they stay

  14. Conclusions • The current climate reference network is poor in monitoring the climate change over high elevation areas, desert areas, and marine areas. • The proportion of the stations distributed in natural underlying surface is insufficient, but that in man made surface is overladen. • Some climate reference stations have not kept the climatic characteristics of which climate zone they stay due to the climate change or the sitting surround changed.

  15. Discussions • Although technical advanced enhance the capability of sustaining the observing network, there are still more difficulties and challenges for filling the gaps of high altitude area, and other human sparse area. • Optimizing and adjusting the existing network is a complicated and systematic project. Cost, efficiency, operation, personnel, persistence and quality of the historical records are all the factors to affect the decision. • The potential results may be the compromise between the ideality and practice.

  16. Thanks for your attention!

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