KEYWORDS: Atmospheric modeling, Carbon, Data modeling, Climatology, Electronic support measures, Performance modeling, Systems modeling, Ecosystems, Process modeling, Biological research
Cropland is the major source of carbon lost to the atmosphere and contribute directly to emissions of greenhouse gases. There is, however, large potential for cropland to reduce its carbon ux to the atmosphere and sequester soil carbon through soil and crop managements. The managements include no-tillage, perennial and/or deep root crops, irrigation, and organic fertilization etc. But these estimations over cropland remain largest uncertain among all other terrestrial biomes. In most models in CMIP5, the cropland is generally treated similarly as grassland without accounting for realistic crop phenology and physiology processes and crop and soil manage- ments. In this study, we will evaluate how well cropland is represented in CMIP5 simulations and how to improve the representations and reduce the uncertainties over cropland. We will compare the modeled biogeochemical variables against multiple observational data including various remote sensing products and in-situ data.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.