TITLE

MODIS land cover uncertainty in regional climate simulations

AUTHOR(S)
Li, Xue; Messina, Joseph; Moore, Nathan; Fan, Peilei; Shortridge, Ashton
PUB. DATE
December 2017
SOURCE
Climate Dynamics;Dec2017, Vol. 49 Issue 11/12, p4047
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
MODIS land cover datasets are used extensively across the climate modeling community, but inherent uncertainties and associated propagating impacts are rarely discussed. This paper modeled uncertainties embedded within the annual MODIS Land Cover Type (MCD12Q1) products and propagated these uncertainties through the Regional Atmospheric Modeling System (RAMS). First, land cover uncertainties were modeled using pixel-based trajectory analyses from a time series of MCD12Q1 for Urumqi, China. Second, alternative land cover maps were produced based on these categorical uncertainties and passed into RAMS. Finally, simulations from RAMS were analyzed temporally and spatially to reveal impacts. Our study found that MCD12Q1 struggles to discriminate between grasslands and croplands or grasslands and barren in this study area. Such categorical uncertainties have significant impacts on regional climate model outputs. All climate variables examined demonstrated impact across the various regions, with latent heat flux affected most with a magnitude of 4.32 W/m in domain average. Impacted areas were spatially connected to locations of greater land cover uncertainty. Both biophysical characteristics and soil moisture settings in regard to land cover types contribute to the variations among simulations. These results indicate that formal land cover uncertainty analysis should be included in MCD12Q1-fed climate modeling as a routine procedure.
ACCESSION #
126245907

 

Related Articles

  • Inferring past land use-induced changes in surface albedo from satellite observations: a useful tool to evaluate model simulations. Boisier, J. P.; de Noblet-Ducoudré, N.; Ciais, P. // Biogeosciences;2013, Vol. 10 Issue 3, p1501 

    Regional cooling resulting from increases in surface albedo has been identified in several studies as the main biogeophysical effect of past land use-induced land cover changes (LCC) on climate. However, the amplitude of this effect remains quite uncertain due to, among other factors, (a)...

  • How Reliable is the MODIS Land Cover Product for Crop Mapping Sub-Saharan Agricultural Landscapes? Leroux, Louise; Jolivot, Audrey; Bégué, Agnès; Lo Seen, Danny; Zoungrana, Bernardin // Remote Sensing;Sep2014, Vol. 6 Issue 9, p8541 

    Accurate cropland maps at the global and local scales are crucial for scientists, government and nongovernment agencies, farmers and other stakeholders, particularly in food-insecure regions, such as Sub-Saharan Africa. In this study, we aim to qualify the crop classes of the MODIS Land Cover...

  • Hydro-climatic effects of future land-cover/land-use change in montane mainland southeast Asia. Sen, Omer; Bozkurt, Deniz; Vogler, John; Fox, Jefferson; Giambelluca, Thomas; Ziegler, Alan // Climatic Change;May2013, Vol. 118 Issue 2, p213 

    Regional climate model simulations with RegCM3 were performed to investigate how future land-cover/land-use (LCLU) change in Montane Mainland Southeast Asia (MMSEA) could affect regional climate. Simulation land-surface parameterizations included present day and plausible 2050 land-covers, as...

  • Evaluation of the Consistency of MODIS Land Cover Product (MCD12Q1) Based on Chinese 30 m GlobeLand30 Datasets: A Case Study in Anhui Province, China. Dong Liang; Yan Zuo; Linsheng Huang; Jinling Zhao; Ling Teng; Fan Yang // ISPRS International Journal of Geo-Information;2015, Vol. 4 Issue 4, p2519 

    Land cover plays an important role in the climate and biogeochemistry of the Earth system. It is of great significance to produce and evaluate the global land cover (GLC) data when applying the data to the practice at a specific spatial scale. The objective of this study is to evaluate and...

  • Assessing the Effect of Temporal Interval Length on the Blending of Landsat-MODIS Surface Reflectance for Different Land Cover Types in Southwestern Continental United States. Dongjie Fu; Lifu Zhang; Hao Chen; Juan Wang; Xuejian Sun; Taixia Wu // ISPRS International Journal of Geo-Information;2015, Vol. 4 Issue 4, p2542 

    Capturing spatial and temporal dynamics is a key issue for many remote-sensing based applications. Consequently, several image-blending algorithms that can simulate the surface reflectance with high spatial-temporal resolution have been developed recently. However, the performance of the...

  • Agriculture development-induced surface albedo changes and climatic implications across northeastern China. Zhang, Xuezhen; Wang, Wei-Chyung; Fang, Xiuqi; Ye, Yu; Zheng, Jingyun // Chinese Geographical Science;Jun2012, Vol. 22 Issue 3, p264 

    To improve the understandings on regional climatic effects of past human-induced land cover changes, the surface albedo changes caused by conversions from natural vegetation to cropland were estimated across northeastern China over the last 300 years, and its climatic effects were simulated by...

  • A data assimilation framework for constraining upscaled cropland carbon flux seasonality and biometry with MODIS. Sus, O.; Heuer, M. W.; Meyers, T. P.; Williams, M. // Biogeosciences;2013, Vol. 10 Issue 4, p2451 

    Agroecosystem models are strongly dependent on information on land management patterns for regional applications. Land management practices play a major role in determining global yield variability, and add an anthropogenic signal to the observed seasonality of atmospheric CO2 concentrations....

  • Mapping Crop Cycles in China Using MODIS-EVI Time Series. Le Li; Friedl, Mark A.; Qinchuan Xin; Gray, Josh; Yaozhong Pan; Frolking, Steve // Remote Sensing;Mar2014, Vol. 6 Issue 3, p2473 

    As the Earth's population continues to grow and demand for food increases, the need for improved and timely information related to the properties and dynamics of global agricultural systems is becoming increasingly important. Global land cover maps derived from satellite data provide...

  • Production of Global Land Cover Data - GLCNMO2008. Ryutaro Tateishi; Nguyen Thanh Hoan; Toshiyuki Kobayashi; Bayan Alsaaideh; Gegen Tana; Dong Xuan Phong // Journal of Geography & Geology;Sep2014, Vol. 6 Issue 3, p99 

    A fifteen-second global land cover dataset - GLCNMO2008 (or GLCNMO version 2) was produced by the authors in the Global Mapping Project coordinated by the International Steering Committee for Global Mapping (ISCGM). The primary source data of this land cover mapping were 23-period, 16-day...

  • Daily global fire radiative power fields estimation from one or two MODIS instruments. Remy, S.; Kaiser, J. W. // Atmospheric Chemistry & Physics;2014, Vol. 14 Issue 24, p13377 

    Fires are important emitters of aerosol and trace gases and as such need to be taken into account in any atmospheric composition modelling enterprise. One method to estimate these emissions is to convert fire radiative power (FRP) analysis into dry matter burnt and emissions of smoke...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics