Representativeness evaluation of china national climate reference station network
This presentation is the property of its rightful owner.
Sponsored Links
1 / 17

Representativeness Evaluation of China National Climate Reference Station Network PowerPoint PPT Presentation


  • 52 Views
  • Uploaded on
  • Presentation posted in: General

Representativeness Evaluation of China National Climate Reference Station Network. Jianxia Guo 1 , Ling Chen 2 , Haihe Liang 1 , Xin Li 3 1. Meteorological Observation Center of CMA, Beijing, China; 2. School of Geography, Beijing Normal University, Beijing, China;

Download Presentation

Representativeness Evaluation of China National Climate Reference Station Network

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Representativeness evaluation of china national climate reference station network

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


Outline

outline

  • Motivation

  • Data and Methods

  • Results

  • Conclusions

  • Discussions


Motivation

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.


Data and methods

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.


Results

Results

  • Spatial distributionhomogeneous

  • Distribution in different grades of climate zoning

  • Underlying surface representativeness

  • Elevation representativeness

  • Climate representativeness


Spatial distribution homogeneous

Spatial distribution homogeneous

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


Climate zoning climate belt s

Climate zoning----climate belts


Climate zoning climate sub zone

Climate zoning---- climate sub-zone


Climate zoning climate regions

Climate zoning---- climate regions


Underlying surface representativeness

Underlying surface representativeness


Elevation representativeness

Elevation representativeness


Representativeness evaluation of china national climate reference station network

89% of stations distributed in area <2000m (68%),

11% of stations in 32% area (≥2000m )


Climate representativeness

Climate representativeness

19 out of 143 stations have not hold the representative feature

of the climate belt they stay


Conclusions

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.


Discussions

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.


Representativeness evaluation of china national climate reference station network

Thanks for your attention!


  • Login