Presentation is loading. Please wait.

Presentation is loading. Please wait.

IGARSS 2011, Jul. 26, Vancouver 1 Improving Land Surface Energy and Water Fluxes Simulation over the Tibetan Plateau with Using a Land Data Assimilation.

Published byGavin Dominic Pearson Modified over 8 years ago

Similar presentations

Presentation on theme: "IGARSS 2011, Jul. 26, Vancouver 1 Improving Land Surface Energy and Water Fluxes Simulation over the Tibetan Plateau with Using a Land Data Assimilation."— Presentation transcript:

1 IGARSS 2011, Jul. 26, Vancouver 1 Improving Land Surface Energy and Water Fluxes Simulation over the Tibetan Plateau with Using a Land Data Assimilation System Hui Lu (Tsinghua University) Toshio Koike, Hiroyuki Tsutsui, Katsunori Tamagawa (The University of Tokyo) Kun Yang, Xin Li (Chinese Academy of Science) Xiangde Xu (Chinese Meteorological Admistration)

2 IGARSS 2011, Jul. 26, Vancouver 2 Contents Background and Objective Land Data Assimilation System Application Region and Data –Simulation domain and ground sites –Used Data Results –Surface soil moisture –Land surface energy fluxes Remarks

3 IGARSS 2011, Jul. 26, Vancouver 3 Background and objective Tibetan Plateau is important in the progress of the Asian summer monsoon –land surface processes –direct Orographic and thermal effects Land-atmosphere interaction in T-P is the key to –improve the understanding of Asian monsoon –improve the accuracy of numerical weather prediction in east Asia –mitigate weather disaster in this region Objectives of this research –To identify the potential of LDAS to improve the modeling of land surface fluxes. –To generate reliable regional distribution of soil moisture and energy fluxes

4 IGARSS 2011, Jul. 26, Vancouver 4 Land Data Assimilation System Why LDAS –Shortage of model Maybe biased, can not correct errors from forcing, parameter setting and model physics –Shortage of satellite remote sensing Limited information, both temporal and spatial Structure of LDAS: three parts of a variational system –Dynamic model: Land surface scheme : SiB2 –TB observation: RTM: Advanced Integral Equation Method (AIEM) –Optimization scheme: Shuffled Complex Evolution (SCE)

5 IGARSS 2011, Jul. 26, Vancouver 5 LSM Minimization scheme F(Tb obs -Tb sim ) Tg, Tc, Mv Tb sim Mv Vegetation layer Surface Surface radiationVegetation emission RTM Tb obs Microwave TMI/AMSR/AMSR-E (6.9/10.6 and 18.7 GHz) SiB2/New SiB DMRT-AIEM Shuffled Complex Evolution Optimization + Assimilation LDAS

6 IGARSS 2011, Jul. 26, Vancouver 6 Introduction of LDAS-UT: Input and Output LDAS-UT Meteorological Forcing Meteorological Forcing: Wind, Temp., Humidity, Pressure, Precipitation, Radiation In situ observation, Satellite Products, model outputs, Default Parameters: Land Cover Type, Soil Type, …… ISLSCP Output Status Variables Output Status Variables: Energy fluxes Soil Moisture profile Soil Temp. profile Canopy Temperature …… Semi-dynamic Vegetation information Semi-dynamic Vegetation information: MODIS, LAI  VWC MODIS, NDVI  Vegetation Fractional coverage: Observation: Microwave TB TMI/AMSR/AMSR-E

7 IGARSS 2011, Jul. 26, Vancouver 7 Application Region Domain: –Lat: 25-40N –Lon: 70-105E Simulated Period –May. - Sep., 2008 Two local sites –West: Gaize –East: Naqu

8 IGARSS 2011, Jul. 26, Vancouver 8 Used Data In situ observation –Soil moisture at two sites –AWS observation –Energy fluxes derived from AWS observation by Bowen Ratio Reanalysis data from NCEP –Meteorological forcing for region simulation –Biases in radiation and precipitation, but not corrected for regional application. Satellite remote sensing data –Soil moisture retrieval from AMSR-E (JAXA) –Brightness temperature from AMSR-E

9 IGARSS 2011, Jul. 26, Vancouver 9 Results Soil Moisture

10 IGARSS 2011, Jul. 26, Vancouver 10 Result: Soil moisture at Gaize MBERMSER LDAS2.748.460.361 AMSR-E-3.016.130.601 NCEP25.2826.130.442

11 IGARSS 2011, Jul. 26, Vancouver 11 Result: Soil moisture at Naqu MBERMSER LDAS-0.173.880.853 AMSR-E10.1621.250.562 NCEP10.0212.150.417

12 IGARSS 2011, Jul. 26, Vancouver 12 Result: Energy flux:Bowen Ratio Clean wet/dry division is showed by LDAS result, while NCEP failed to represent such a feature.

13 IGARSS 2011, Jul. 26, Vancouver 13 Result: energy fluxes at Gaize MBERMSER Hs43.3854.210.879 lE12.8831.050.878 G0-15.0977.190.949

14 IGARSS 2011, Jul. 26, Vancouver 14 Result: energy fluxes at Naqu MBERMSER Hs35.6442.360.934 lE6.9335.140.975 G03.7268.850.967

15 IGARSS 2011, Jul. 26, Vancouver 15 Result: Dynamic variation Cyclonic brings moisture from the Bay of Bengal to the SE of T-P, and brings dry air mass from Taklamagan desert LDAS-UT is able to provide more realistic land surface status for research in other principles LDAS-UT NCEP

16 IGARSS 2011, Jul. 26, Vancouver 16 Remark Land-atmosphere interaction in T-P is very important for Asian monsoon development. Combining MW remote sensing and LSM, LDAS could improve the land surface fluxes simulation. LDAS produce more realistic land surface status, which is in good agreement with monsoon development. Feeding LDAS fluxes into atmosphere model is expected

17 IGARSS 2011, Jul. 26, Vancouver 17 Acknowledgments The data is get from “ Japan-China JICA project ”. Colleges contribute to this project are: –UT: T. Koike, K. Tamagawa, H. Tutsui, L. Wang –Tsukuba U.: K. Ueno –ITP: K. Yang, Y.M. Mao –CAREERI: X. Li, Z.Y. Hu, W.Q. Ma, M.S.Li –CAMS: X.D. Xu, H. Peng

18 IGARSS 2011, Jul. 26, Vancouver 18 Thank you for your attention!

Download ppt "IGARSS 2011, Jul. 26, Vancouver 1 Improving Land Surface Energy and Water Fluxes Simulation over the Tibetan Plateau with Using a Land Data Assimilation."

Similar presentations

Land Surface Evaporation 1. Key research issues 2. What we learnt from OASIS 3. Land surface evaporation using remote sensing 4. Data requirements Helen.

Land Surface Evaporation 1. Key research issues 2. What we learnt from OASIS 3. Land surface evaporation using remote sensing 4. Data requirements Helen.
Using Flux Observations to Improve Land-Atmosphere Modelling: A One-Dimensional Field Study Robert Pipunic, Jeffrey Walker & Andrew Western The University.

Using Flux Observations to Improve Land-Atmosphere Modelling: A One-Dimensional Field Study Robert Pipunic, Jeffrey Walker & Andrew Western The University.
Extension and application of an AMSR global land parameter data record for ecosystem studies Jinyang Du, John S. Kimball, Lucas A. Jones, Youngwook Kim,

Extension and application of an AMSR global land parameter data record for ecosystem studies Jinyang Du, John S. Kimball, Lucas A. Jones, Youngwook Kim,
A thermodynamic model for estimating sea and lake ice thickness with optical satellite data Student presentation for GGS656 Sanmei Li April 17, 2012.

A thermodynamic model for estimating sea and lake ice thickness with optical satellite data Student presentation for GGS656 Sanmei Li April 17, 2012.
A synthetic report of recent climatic changes and their impacts on energy and water budgets over the Tibetan Plateau (TP) Kun Yang, Jun Qin, Wenjun Tang.

A synthetic report of recent climatic changes and their impacts on energy and water budgets over the Tibetan Plateau (TP) Kun Yang, Jun Qin, Wenjun Tang.
1 CODATA 2006 October 23-25, 2006, Beijing Cryospheric Data Assimilation An Integrated Approach for Generating Consistent Cryosphere Data Set Xin Li World.

1 CODATA 2006 October 23-25, 2006, Beijing Cryospheric Data Assimilation An Integrated Approach for Generating Consistent Cryosphere Data Set Xin Li World.
Toshio Koike, CEOP Lead Scientist The University of Tokyo GEO HP: Global Earth Observation System of Systems (GEOSS) and the.

Toshio Koike, CEOP Lead Scientist The University of Tokyo GEO HP: Global Earth Observation System of Systems (GEOSS) and the.
NAFE’06 Planning Workshop 1 A BMRC and eWater Perspective Clara Draper Dr. Jeffrey Walker & Dr. Peter Steinle (BMRC)

NAFE’06 Planning Workshop 1 A BMRC and eWater Perspective Clara Draper Dr. Jeffrey Walker & Dr. Peter Steinle (BMRC)
Shenglei Zhang ﹡, Jiancheng Shi, Youjun Dou Xiaojun Yin, Liying Li, Chenzhou Liu ﹡ Experiments of satellite data simulation based on.

Shenglei Zhang ﹡, Jiancheng Shi, Youjun Dou Xiaojun Yin, Liying Li, Chenzhou Liu ﹡ Experiments of satellite data simulation based on.
Near Surface Soil Moisture Estimating using Satellite Data Researcher: Dleen Al- Shrafany Supervisors : Dr.Dawei Han Dr.Miguel Rico-Ramirez.

Near Surface Soil Moisture Estimating using Satellite Data Researcher: Dleen Al- Shrafany Supervisors : Dr.Dawei Han Dr.Miguel Rico-Ramirez.
MODIS Science Team Meeting - 18 – 20 May 20111 Routine Mapping of Land-surface Carbon, Water and Energy Fluxes at Field to Regional Scales by Fusing Multi-scale.

MODIS Science Team Meeting - 18 – 20 May Routine Mapping of Land-surface Carbon, Water and Energy Fluxes at Field to Regional Scales by Fusing Multi-scale.
Some Approaches and Issues related to ISCCP-based Land Fluxes Eric F Wood Princeton University.

Some Approaches and Issues related to ISCCP-based Land Fluxes Eric F Wood Princeton University.
GRAPES-Based Nowcasting: System design and Progress Jishan Xue, Hongya Liu and Hu Zhijing Chinese Academy of Meteorological Sciences Toulouse Sept 2005.

GRAPES-Based Nowcasting: System design and Progress Jishan Xue, Hongya Liu and Hu Zhijing Chinese Academy of Meteorological Sciences Toulouse Sept 2005.
Remote Sensing of Hydrological Variables over the Red Arkansas Eric Wood Matthew McCabe Rafal Wojcik Hongbo Su Huilin Gao Justin Sheffield Princeton University.

Remote Sensing of Hydrological Variables over the Red Arkansas Eric Wood Matthew McCabe Rafal Wojcik Hongbo Su Huilin Gao Justin Sheffield Princeton University.
1 G EOSS A nd M AHASRI E xperiment in T ropics (GaME-T) Taikan Oki and Shinjiro.

1 G EOSS A nd M AHASRI E xperiment in T ropics (GaME-T) Taikan Oki and Shinjiro.
AMSR-E Soil Moisture Retrievals Using the SCA During NAFE’06 T.J. Jackson and R. Bindlish USDA ARS Hydrology and Remote Sensing Lab September 22, 2008.

AMSR-E Soil Moisture Retrievals Using the SCA During NAFE’06 T.J. Jackson and R. Bindlish USDA ARS Hydrology and Remote Sensing Lab September 22, 2008.
Globally distributed evapotranspiration using remote sensing and CEOP data Eric Wood, Matthew McCabe and Hongbo Su Princeton University.

Globally distributed evapotranspiration using remote sensing and CEOP data Eric Wood, Matthew McCabe and Hongbo Su Princeton University.
AMMA-UK Kick-off meeting 20-21 Jan 2005 WP1 Land surface and atmosphere interactions Chris Taylor Phil Harris.

AMMA-UK Kick-off meeting Jan 2005 WP1 Land surface and atmosphere interactions Chris Taylor Phil Harris.
Surface Skin Temperatures Observed from IR and Microwave Satellite Measurements Catherine Prigent, CNRS, LERMA, Observatoire de Paris, France Filipe Aires,

Surface Skin Temperatures Observed from IR and Microwave Satellite Measurements Catherine Prigent, CNRS, LERMA, Observatoire de Paris, France Filipe Aires,
Are the results of PILPS or GSWP affected by the lack of land surface- atmosphere feedback? Is the use of offline land surface models in LDAS making optimal.

Are the results of PILPS or GSWP affected by the lack of land surface- atmosphere feedback? Is the use of offline land surface models in LDAS making optimal.

Similar presentations

Ads by Google