CREST Version 2.x

Note

CREST model V2.x supports a set of new features compared to CREST V1.x, including:

  1. activating distributed parameters over regions where remotely sensed data is available

  2. the replacement of three soil layers to one bulk soil layer

  3. including impervious area ratio parameter to emulate fast runoff generation

  4. including a rainfall multiplier parameter to overcome bias

  5. automatic calibration using the SCE-UA algorithm (Duan et al., 1992)

  6. parallel computing

  7. modular design framework.

CREST V2.x structure

Figure 2. CREST V2.x model structure

Table 1. CREST V2.x parameters table

Symbols

Description

Source

Unit

DEM

Digital Elevation Model

Remote sensing/survey

M

FDIR

Flow direction

Derive from DEM

N/A

FAC

Flow Accumulation

Derive from DEM

Cells or km^2

S

Slope

Derive from DEM

Degree

stream

stream grid; 0-land; 1-river

Derive from DEM

N/A

RainFact

The multiplier on the precipitation field

prior knowledge

N/A

Wm

Maximum soil water capacity at bulk soil layer

Soil survey

mm

B

Exponent parameter of the VIC model at bulk soil layer

Soil survey

N/A

Ksat

Mean saturated hydraulic conductivity

Soil survey

mm/hr

IM

The impervious area ratio

land cover

%

LAI

Leaf Area Index

Remote sensing

m^2/m^2

coeM

The overland runoff velocity coefficient

N/A

N/A

expM

The overland runoff velocity exponent

N/A

N/A

coeR

multiplier to converrt overland flow speed to in-channel water flow speed

N/A

N/A

coeS

multiplier to converrt subsurface flow speed to in-channel water flow speed

N/A

N/A

KS

Surface runoff velocity coefficient

N/A

m/s

KI

Subsurface runoff velocity coefficient

N/A

m/s

CREST V2.0

Author:

Xianwu Xue, Yang Hong,

Year of publication:

2013

Software repo:

HyDROS

Program language:

Fortran

Applications

  1. Description of CREST V2.0 [link1] [Xue2013]

  2. Hydrologic utility of satellite precipitation products [link2] [Tang2016]

CREST V2.1

Author:

Xinyi Shen, J.J. Gourley, Yang Hong,

Year of publication:

2017

Software repo:

HyDROS

Program language:

Matlab

Note

CREST V2.1 improves routing scheme in CREST V2.0, from its original Quasi-Distributed Linear Reservoir Routing (QDLRR) to Fully-Distributed Linear Reservoir Routing (FDLRR)

Applications

  1. Description of CREST V2.1 [link3] [Shen2017]

  2. Parameter uncertainties in CREST V2.1 [link4] [Gan2018]

  3. Water resources management [link5] [Lakew2020]

  4. Flood simulation [link6] [Blanton2020]

References

[Xue2013]

Xue, X., Hong, Y., Limaye, A. S., Gourley, J. J., Huffman, G. J., Khan, S. I., … & Chen, S. (2013). Statistical and hydrological evaluation of TRMM-based Multi-satellite Precipitation Analysis over the Wangchu Basin of Bhutan: Are the latest satellite precipitation products 3B42V7 ready for use in ungauged basins?. Journal of Hydrology, 499, 91-99.

[Tang2016]

Tang, G., Zeng, Z., Long, D., Guo, X., Yong, B., Zhang, W., & Hong, Y. (2016). Statistical and hydrological comparisons between TRMM and GPM level-3 products over a midlatitude basin: Is day-1 IMERG a good successor for TMPA 3B42V7?. Journal of Hydrometeorology, 17(1), 121-137.

[Shen2017]

Shen, X., Hong, Y., Zhang, K., & Hao, Z. (2017a). Refining a distributed linear reservoir routing method to improve performance of the CREST model. Journal of hydrologic engineering, 22(3), 04016061.

[Gan2018]

Gan, Y., Liang, X. Z., Duan, Q., Ye, A., Di, Z., Hong, Y., & Li, J. (2018). A systematic assessment and reduction of parametric uncertainties for a distributed hydrological model. Journal of hydrology, 564, 697-711.

[Lakew2020]

Lakew, H. B., Moges, S. A., Anagnostou, E. N., Nikolopoulos, E. I., & Asfaw, D. H. (2020). Evaluation of global water resources reanalysis runoff products for local water resources applications: case study-upper Blue Nile basin of Ethiopia. Water Resources Management, 34(7), 2157-2177.

[Blanton2020]

Blanton, B., Dresback, K., Colle, B., Kolar, R., Vergara, H., Hong, Y., … & Wachtendorf, T. (2020). An Integrated Scenario Ensemble‐Based Framework for Hurricane Evacuation Modeling: Part 2—Hazard Modeling. Risk analysis, 40(1), 117-133.