Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface. / Beven, Keith; Cloke, Hannah; Pappenberger, Florian et al.
In: Science China Earth Sciences, Vol. 58, No. 1, 01.2015, p. 25-35.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Beven, K, Cloke, H, Pappenberger, F, Lamb, R & Hunter, N 2015, 'Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface', Science China Earth Sciences, vol. 58, no. 1, pp. 25-35. https://doi.org/10.1007/s11430-014-5003-4

APA

Beven, K., Cloke, H., Pappenberger, F., Lamb, R., & Hunter, N. (2015). Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface. Science China Earth Sciences, 58(1), 25-35. https://doi.org/10.1007/s11430-014-5003-4

Vancouver

Beven K, Cloke H, Pappenberger F, Lamb R, Hunter N. Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface. Science China Earth Sciences. 2015 Jan;58(1):25-35. Epub 2014 Nov 15. doi: 10.1007/s11430-014-5003-4

Author

Beven, Keith ; Cloke, Hannah ; Pappenberger, Florian et al. / Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface. In: Science China Earth Sciences. 2015 ; Vol. 58, No. 1. pp. 25-35.

Bibtex

@article{8f3e1c60d13945ba97b935ec994a47b6,

title = "Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface",

abstract = "There is a strong drive towards hyperresolution earth system models in order to resolve finer scales of motion in the atmosphere. The problem of obtaining more realistic representation of terrestrial fluxes of heat and water, however, is not just a problem of moving to hyperresolution grid scales. It is much more a question of a lack of knowledge about the parameterisation of processes at whatever grid scale is being used for a wider modelling problem. Hyperresolution grid scales cannot alone solve the problem of this hyperresolution ignorance. This paper discusses these issues in more detail with specific reference to land surface parameterisations and flood inundation models. The importance of making local hyperresolution model predictions available for evaluation by local stakeholders is stressed. It is expected that this will be a major driving force for improving model performance in the future.",

keywords = "hyperresolution models, epistemic uncertainties, models of everywhere, communicating uncertainty, flood risk, STOCHASTIC-CONCEPTUAL ANALYSIS, INTEGRATED FORECAST SYSTEM, RAINFALL-RUNOFF PROCESSES, PHYSICALLY BASED MODEL, SOIL-WATER CONTENT, FLOOD RISK, HETEROGENEOUS HILLSLOPES, TIME DISTRIBUTIONS, SCALE, MOISTURE",

author = "Keith Beven and Hannah Cloke and Florian Pappenberger and Rob Lamb and Neil Hunter",

year = "2015",

month = jan,

doi = "10.1007/s11430-014-5003-4",

language = "English",

volume = "58",

pages = "25--35",

journal = "Science China Earth Sciences",

issn = "1674-7313",

publisher = "Science in China Press",

number = "1",

}

RIS

TY - JOUR

T1 - Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface

AU - Beven, Keith

AU - Cloke, Hannah

AU - Pappenberger, Florian

AU - Lamb, Rob

AU - Hunter, Neil

PY - 2015/1

Y1 - 2015/1

N2 - There is a strong drive towards hyperresolution earth system models in order to resolve finer scales of motion in the atmosphere. The problem of obtaining more realistic representation of terrestrial fluxes of heat and water, however, is not just a problem of moving to hyperresolution grid scales. It is much more a question of a lack of knowledge about the parameterisation of processes at whatever grid scale is being used for a wider modelling problem. Hyperresolution grid scales cannot alone solve the problem of this hyperresolution ignorance. This paper discusses these issues in more detail with specific reference to land surface parameterisations and flood inundation models. The importance of making local hyperresolution model predictions available for evaluation by local stakeholders is stressed. It is expected that this will be a major driving force for improving model performance in the future.

AB - There is a strong drive towards hyperresolution earth system models in order to resolve finer scales of motion in the atmosphere. The problem of obtaining more realistic representation of terrestrial fluxes of heat and water, however, is not just a problem of moving to hyperresolution grid scales. It is much more a question of a lack of knowledge about the parameterisation of processes at whatever grid scale is being used for a wider modelling problem. Hyperresolution grid scales cannot alone solve the problem of this hyperresolution ignorance. This paper discusses these issues in more detail with specific reference to land surface parameterisations and flood inundation models. The importance of making local hyperresolution model predictions available for evaluation by local stakeholders is stressed. It is expected that this will be a major driving force for improving model performance in the future.

KW - hyperresolution models

KW - epistemic uncertainties

KW - models of everywhere

KW - communicating uncertainty

KW - flood risk

KW - STOCHASTIC-CONCEPTUAL ANALYSIS

KW - INTEGRATED FORECAST SYSTEM

KW - RAINFALL-RUNOFF PROCESSES

KW - PHYSICALLY BASED MODEL

KW - SOIL-WATER CONTENT

KW - FLOOD RISK

KW - HETEROGENEOUS HILLSLOPES

KW - TIME DISTRIBUTIONS

KW - SCALE

KW - MOISTURE

U2 - 10.1007/s11430-014-5003-4

DO - 10.1007/s11430-014-5003-4

M3 - Journal article

VL - 58

SP - 25

EP - 35

JO - Science China Earth Sciences

JF - Science China Earth Sciences

SN - 1674-7313

IS - 1

ER -

Research

Associated organisational units

Links

Text available via DOI:

Keywords