Greenhouse gas data collected by different institutions throughout the world have significant scientific values for global climate change studies. Due to the diversity of data formats and different specifications of data access interfaces, most of those data should be first downloaded onto a local machine before they can be used. To overcome this limitation, we present a geospatial web portal for sharing and analyzing greenhouse gas data derived from remote sensing images. As a proof-of-concept, a prototype has also been designed and implemented. The work：flow of the web portal contains four processes： data access, data analysis, results visualiza- tion, and results output. A large volume of greenhouse gas data have been collected, described, and indexed in the portal, and a variety of data analysis services, such as calculating the temporal variation of regionally averaged column CO2 values and analyzing the latitudinal variations of globally averaged column CO2 values, are integrated into this portal. With the integrated geospatial data and services, researchers can collect and analyze greenhouse gas data online, and can preview and download the analysis results directly from the web portal. The geospatial web portal has been implemented as a web application, and we also used a study case to illustrate this framework.
Hao LINBailang YUZuoqi CHENYingjie HUYan HUANGJianping WUBin WURong GE
We present a study on validation of the National Institute for Environmental Studies Transport Model(NIES TM)by comparing to observed vertical profiles of atmospheric CO_(2).The model uses a hybrid sigmaisentropic(σ–θ)vertical coordinate that employs both terrain-following and isentropic parts switched smoothly in the stratosphere.The model transport is driven by reanalyzed meteorological fields and designed to simulate seasonal and diurnal cycles,synoptic variations,and spatial distributions of atmospheric chemical constituents in the troposphere.The model simulations were run for combination of biosphere,fossil fuel,air-ocean exchange,biomass burning and inverse correction fluxes of carbon dioxide(CO_(2))by GOSAT Level 4 product.We compared the NIES TM simulated fluxes with data from the HIAPER Pole-to-Pole Observations(HIPPO)Merged 10-s Meteorology,Atmospheric Chemistry,and Aerosol Data,including HIPPO-1,HIPPO-2 and HIPPO-3 from 128.0°E to 84.0°W,and 87.0°N to 67.2°S.The simulation results were compared with CO_(2) observations made in January and November,2009,and March and April,2010.The analysis attests that the model is sufficient to simulate vertical profiles with errors within 1–2 ppmv,except for the lower stratosphere in the northern hemisphere high latitudes.
