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WaterWorld: a self-parameterising, physically-based model for application in data-poor but problem-rich environments globally

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WaterWorld: a self-parameterising, physically-based model for application in data-poor but problem-rich environments globally. / Mulligan, Mark.

In: Hydrology Research, 2013.

Research output: Contribution to journalArticle

Harvard

Mulligan, M 2013, 'WaterWorld: a self-parameterising, physically-based model for application in data-poor but problem-rich environments globally', Hydrology Research. https://doi.org/10.2166/nh.2012.217

APA

Mulligan, M. (Accepted/In press). WaterWorld: a self-parameterising, physically-based model for application in data-poor but problem-rich environments globally. Hydrology Research. https://doi.org/10.2166/nh.2012.217

Vancouver

Mulligan M. WaterWorld: a self-parameterising, physically-based model for application in data-poor but problem-rich environments globally. Hydrology Research. 2013. https://doi.org/10.2166/nh.2012.217

Author

Mulligan, Mark. / WaterWorld: a self-parameterising, physically-based model for application in data-poor but problem-rich environments globally. In: Hydrology Research. 2013.

Bibtex Download

@article{877d9d2b0384439a98aaf96047320dbe,
title = "WaterWorld: a self-parameterising, physically-based model for application in data-poor but problem-rich environments globally",
abstract = "This paper describes a spatially explicit, physically based global model for waterbalance. It's key innovations include the fact that it comes with all data required for application, is very high spatial resolution (1km or 1-hectare resolution) and yet global in extent and is particularly well- suited to heterogeneous environments with little or no available data. The model, WaterWorld, is capable of producing a hydrological baseline representing the mean water balance for 1950-2000 and allows users to apply ensemble scenarios for climate change or examine the impact of policy options for land cover change or land management interventions. WaterWorld is focused on policy support, especially in conservation hydrology and development applications and is delivered through a simple, web interface, requiring little local capacity for use. The paper discusses the paucity of hydrological data and the urgency of hydrological problems in much of the less developed world, which reinforce the need for tools like WaterWorld. We discuss the types of hydrological problems that models might contribute to managing and the requirements of models applied to such problems. By way of example, applications of WaterWorld to understanding large scale patterns of water resources and uncertainty around adaptation to climate change are described.",
author = "Mark Mulligan",
year = "2013",
doi = "10.2166/nh.2012.217",
language = "English",
journal = "Hydrology Research",
issn = "1998-9563",
publisher = "Nordic Association for Hydrology",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - WaterWorld: a self-parameterising, physically-based model for application in data-poor but problem-rich environments globally

AU - Mulligan, Mark

PY - 2013

Y1 - 2013

N2 - This paper describes a spatially explicit, physically based global model for waterbalance. It's key innovations include the fact that it comes with all data required for application, is very high spatial resolution (1km or 1-hectare resolution) and yet global in extent and is particularly well- suited to heterogeneous environments with little or no available data. The model, WaterWorld, is capable of producing a hydrological baseline representing the mean water balance for 1950-2000 and allows users to apply ensemble scenarios for climate change or examine the impact of policy options for land cover change or land management interventions. WaterWorld is focused on policy support, especially in conservation hydrology and development applications and is delivered through a simple, web interface, requiring little local capacity for use. The paper discusses the paucity of hydrological data and the urgency of hydrological problems in much of the less developed world, which reinforce the need for tools like WaterWorld. We discuss the types of hydrological problems that models might contribute to managing and the requirements of models applied to such problems. By way of example, applications of WaterWorld to understanding large scale patterns of water resources and uncertainty around adaptation to climate change are described.

AB - This paper describes a spatially explicit, physically based global model for waterbalance. It's key innovations include the fact that it comes with all data required for application, is very high spatial resolution (1km or 1-hectare resolution) and yet global in extent and is particularly well- suited to heterogeneous environments with little or no available data. The model, WaterWorld, is capable of producing a hydrological baseline representing the mean water balance for 1950-2000 and allows users to apply ensemble scenarios for climate change or examine the impact of policy options for land cover change or land management interventions. WaterWorld is focused on policy support, especially in conservation hydrology and development applications and is delivered through a simple, web interface, requiring little local capacity for use. The paper discusses the paucity of hydrological data and the urgency of hydrological problems in much of the less developed world, which reinforce the need for tools like WaterWorld. We discuss the types of hydrological problems that models might contribute to managing and the requirements of models applied to such problems. By way of example, applications of WaterWorld to understanding large scale patterns of water resources and uncertainty around adaptation to climate change are described.

U2 - 10.2166/nh.2012.217

DO - 10.2166/nh.2012.217

M3 - Article

JO - Hydrology Research

T2 - Hydrology Research

JF - Hydrology Research

SN - 1998-9563

ER -

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