BNPP/ASB Functional Value of Biodiversity Project – Phase II 



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Model

VIC (Variable Infiltration Capacity)

Lead University of Washington
Collaborator ICRAF-SEA
Scope, dataframe, spatial resolution

(complete metadata: sources, definitions, dates, resolution, etc)

 

study area (domain) The primary focus is the Mekong basin itself, as derived explicitly from the GTOPO30 digital elevation model (DEM).
land cover (including classes distinguished) 
Vegetation attributes Remaining work Target date

Reference IGBP (1km, 25 km)

 --

Done

Reference IGBP (8 km)

Aggregate 1 km to 8 km

8/22

MODIS (1 km, 8 km)

(1) Complete transference to  VIC scheme

(2) Aggregate 1 km to 8 km

~ 9/5 (hopefully earlier)

AVHRR  1980-200 Time Series (8 km, only)

(1) Complete download & pre-processing   

(2) Extract LAI, derive other parameters

~9/15-9/30

 

DEM 

(see Table 1

Topographic data were taken from 30-arcsecond GTOPO30 Digital Elevation Model (DEM), obtained from the U.S. Geological Survey, from their web site http://edcdaac.usgs.gov/gtopo30/gtopo30.html
stream network

 Physical Template

Remaining work (if any)

Target Date

Network (1, 25 km)

                -

Done

Network  (8 km)

Aggregate 1 km to 8 km

8/22

soils 

Two sources of soil type data are used, to obtain the dominant soil type in each grid cell: (see Table 1 for detailed information)

- Soils#1: 5-minute FAO/UNESCO digital soil map of the world (FAO, 1995).

- Soils#2: 1:50k high resolution data from the MRC. 

Soils

Remaining work (if any)

Target Date

 FAO (8 km, 25 km)

 --

Done

 FAO (1 km)

Disaggregate 8 km to 1 km

8/22

MRC (1 km, 8 km)

(1) Complete transference to  VIC scheme

(2) Aggregate to 1 km, 8 km

~ 9/5 (hopefully earlier)

 

streamflow data  See Table 1
dams NA
 
Climatology 
variables  See Table 1
sources  (real or simulated?)   See Table 1
spatiotemporal resolution, original and interpolated 

Time step = daily, spatial scale = 1 km, 8 km, and 25 km. 

time series See Table 1
other

Gridded Surface Climatology

Remaining work (if any)

Target Date

Network (1, 25 km)

                -

Done

Network  (8 km)

Aggregate 1 km to 8 km

8/22

 

Machinery

Variable Infiltration Capacity (VIC) model. 

VIC (Liang et al, 1994) is a physically based model, which nonetheless parameterizes small scale processes to allow application to large river basins, which typically are resolved at spatial resolutions from 1/8 degree latitude by longitude (e.g., where the resolution of the precipitation, temperature, radiative, and other surface forcings are available or can be derived) to coarser resolutions such as the 2 degree global application described by Nijssen et al (2002). Previous applications of VIC include such large continental river basins as the Columbia (Nijssen et al., 1997), the Arkansas-Red (Abdulla et al., 1996), and the Upper Mississippi (Cherkauer and Lettenmaier, 1999), among other rivers. VIC has also been applied to the entire area of China (Su and Xie, 2003).

 A detailed description of the VIC model can be found in Liang et al. (1994, 1996 and 1998). Briefly, the model has parameterizations to represent the vertical exchange of moisture and energy between the vegetation canopy and the atmosphere, similar in many respects to other Soil-Vegetation-Atmosphere Transfer Schemes (SVATS).  Its main distinction from other SVATS is its representation of the effects of spatial variability in soil, topography, and vegetation, and their effects on runoff generation, which is assumed to occur dominantly via the saturation excess mechanism (which is usually a defensible assumption in humid environments).  The model also represents a “slow”, or baseflow, runoff response via a nonlinear deep soil drainage parameterization. The VIC model is coupled to a streamflow routing scheme that transports the runoff generated within each grid cell through a specified channel network. The routing model does not account for channel losses, extractions, diversions and reservoir operations (the latter are represented in the water management model). The routing model is described in detail in Lohmann et al. (1996; 1998).

Functions modeled total yield, high flows, low flows
Land cover scenarios
The standard climatology for the VIC is our 20-year climate record, with accompanying discharge. To examine the overall model and data trade-offs, and to establish the most robust (and hence trustworthy) product, we will conduct a set of model runs which will move progressively though the assumptions inherent in model scaling and data sets. From these results, we will determine the “best” combination of parameters to do the scenarios (Activity 2.4) with.
Other than simple aggregation tasks, the primary work remaining is is developing the time series landcover data set, and agree on scenario datasets. It should be noted here that the primary rationale for the scenarios in the context here is to examine landuse change consequences; it is not necessary to work with the “most likely” scenarios.
Res Veg Soil Status

 

Selection of “best”

Scenarios

Resolve process: transition matrices on MODIS, Activity 2.1 Scenarios

Target date: 9/15

 

Selection of “best”

 

10/01

Process

(including paramaterization, validation, sensitivity tests)

validation
Res Veg Soil Status
25 Km IGBP' 94 FAO Running, results being compiled
Reporting and analysis of model runs including overlays

Reporting of direct hydrological flows 

Results of model simulations will include: (see Table 5).

(1)  total yield by time at locations upstream from major urban centers (Mekong - Chiang Saen (Thailand), Luang Prabang (Laos), Vientiane (Laos),  Paksane (Laos), Thakhek (Laos), Savannakhet (Laos), Pakse (Laos),  Stung Treng (Cambodia), Kratie (Cambodia), and Phnom Penh (Cambodia)); and at the coastal zone (Mekong only),

(2) seasonal variability of total flow related to seasonality of the simulated rainfall data,

(3) duration of storm events effects on stage height at location upstream from major urban centers.

 

Milestones  0, 1st, 2nd and final manuscript.
Date Expected 0 draft in July; 1st draft September 2003; 2nd draft 8 October 2003; final 1 December 2003.

Notes, 

Comments 

NA

References VIC references. See: http://www.hydro.washington.edu/Lettenmaier/Models/VIC/#references 

MODELLING THE IMPACT OF LANDCOVER/MANAGEMENT CHANGE AND CLIMATE VARIABILITY ON THE PEAK FLOWS OF LARGE RIVER BASINS: Application to the Mekong Basin. Presented at the American Meteorological Society (AMS) 84th Annual Meeting, Seattle, January 11-15, 2004. Jeffrey E. Richey, Mariza Costa-Cabral, Gopalakrishna Goteti, Riyadh Al Soufi, Dennis P. Lettenmaier, Sarah D. Rodda, S.S.Im, and A. Snidvongs.

Design and update: Sandra Velarde

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Last updated: 03 March, 2004     ©2003 ASB. All rights reserved.