TY  - JOUR
A1  - Jackisch, Conrad
A1  - Zehe, Erwin
A1  - Samaniego, Luis
A1  - Singh, Anupam K.
T1  - An experiment to gauge an ungauged catchment: rapid data assessment and eco-hydrological modelling in a data-scarce rural catchment
JF  - Hydrological sciences journal = Journal des sciences hydrologiques
N2  - We conducted a PUB (predictions in ungauged basins) experiment looking at hydrology and crop dynamics in the semi-arid rural Mod catchment in India. The experiment was motivated by the aims (a) to develop a coupled eco-hydrological model capable of analysing land-use strategies concerning crop water need, erosion protection, crop yield and resistivity against droughts and floods, and (b) to assess the feasibility of a strategy for collecting the necessary data in a data-scarce region. Our experiment combines parsimonious data assessment and eco-hydrological model coupling at the lower mesoscale. Linking bottom-up sampling of functionally representative soil classes and top-down regionalization based on spectral properties of the same resulted in a comprehensive distributed data basis for the model. A clear focus on the dominating processes and the catena as the organizing landscape element in the given environmental setting enabled this. We employed the WASA (Water Availability in Semi-Arid environments) model for uncalibrated process-based water balance modelling and integrated a crop simulation subroutine based on the SWAP (Soil Water Atmosphere Plant) model to account for crop dynamics, feedbacks and yield estimation. While we found the data assessment strategy and the hydrological model application largely feasible, in terms of its accounting for scale, processes and model concepts, the simulation of feedbacks with crops was problematic. Contributing to the PUB issue, more general conclusions are drawn concerning spatially-distributed structural information and uncalibrated modelling.
 [GRAPHICS]
 Editor Z.W. Kundzewicz; Associate editor F. Hattermann
KW  - rural
KW  - model coupling
KW  - eco-hydrological modelling
KW  - semi-arid
KW  - Prediction in Ungauged Basins (PUB)
Y1  - 2014
U6  - https://doi.org/10.1080/02626667.2013.870662
SN  - 0262-6667
SN  - 2150-3435
VL  - 59
IS  - 12
SP  - 2103
EP  - 2125
PB  - Routledge, Taylor & Francis Group
CY  - Abingdon
ER  -