气候变化领域集成服务门户(CCPortal): Assimilation of vegetation optical depth retrievals from passive microwave radiometry

CCPortal

DOI	10.5194/hess-24-3431-2020
	Assimilation of vegetation optical depth retrievals from passive microwave radiometry
	Kumar S.V.; Holmes T.R.; Bindlish R.; De Jeu R.; Peters-Lidard C.
发表日期	2020
ISSN	1027-5606
起始页码	3431
结束页码	3450
卷号	24 期号:7
英文摘要	Vegetation optical depth (VOD) retrievals from passive microwave sensors provide analog estimates of above-ground canopy biomass. This study presents the development and analysis of assimilating VOD retrievals from X-, C-, and L-band passive microwave instruments within the Noah-MP land surface model over the Continental U.S. The results from this study demonstrate that the assimilation of VOD retrievals have a significant beneficial impact on the simulation of evapotranspiration and GPP, particularly over the agricultural areas of the U.S. The improvements in the water and carbon fluxes from the assimilation of VOD from X- and C-band sensors are found to be comparable to those obtained from the assimilation of vegetation indices from optical sensors. The study also quantifies the relative and joint impacts of assimilating surface soil moisture and VOD from the Soil Moisture Active Passive (SMAP) mission. The utility of soil moisture assimilation for improving evapotranspiration (ET) is more significant over water-limited regions, whereas VOD DA is more impactful over areas where soil moisture is not the primary controlling factor on ET. The results also indicate that the information on moisture and vegetation states from SMAP can be simultaneously exploited through the joint assimilation of surface soil moisture and VOD. Since passive microwave-based VOD retrievals are available in nearly all weather conditions, their use within data assimilation systems offers the ability to extend and improve the utility obtained from the use of optical/infrared-based vegetation retrievals. © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	Agricultural robots; Evapotranspiration; Microwaves; Optical properties; Soil moisture; Vegetation; Video on demand; Controlling factors; Data assimilation systems; Land surface modeling; Passive microwave radiometry; Passive microwave sensors; Soil moisture active passive (SMAP); Surface soil moisture; Vegetation optical depth; Microwave sensors; agricultural land; canopy architecture; carbon flux; evapotranspiration; microwave radiation; optical depth; radiometric survey; sensor; soil moisture; vegetation structure; water flux
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159358
作者单位	Kumar, S.V., Hydrological Sciences Laboratory, Nasa Goddard Space Flight Center, Greenbelt, MD, United States; Holmes, T.R., Hydrological Sciences Laboratory, Nasa Goddard Space Flight Center, Greenbelt, MD, United States; Bindlish, R., Hydrological Sciences Laboratory, Nasa Goddard Space Flight Center, Greenbelt, MD, United States; De Jeu, R., Vandersat, Haarlem, Netherlands; Peters-Lidard, C., Hydrosphere Biosphere, and Geophysics, Earth Sciences Division at Nasa Gsfc, Greenbelt, MD, United States
推荐引用方式 GB/T 7714	Kumar S.V.,Holmes T.R.,Bindlish R.,et al. Assimilation of vegetation optical depth retrievals from passive microwave radiometry[J],2020,24(7).
APA	Kumar S.V.,Holmes T.R.,Bindlish R.,De Jeu R.,&Peters-Lidard C..(2020).Assimilation of vegetation optical depth retrievals from passive microwave radiometry.Hydrology and Earth System Sciences,24(7).
MLA	Kumar S.V.,et al."Assimilation of vegetation optical depth retrievals from passive microwave radiometry".Hydrology and Earth System Sciences 24.7(2020).