Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 1784-1791 |
| Seitenumfang | 8 |
| Fachzeitschrift | Water resources research |
| Jahrgang | 53 |
| Ausgabenummer | 3 |
| Publikationsstatus | Veröffentlicht - 9 März 2017 |
Abstract
Models for flow in environmental systems are subject to uncertainty. Models can thus be interpreted as hypotheses on the validity of the underlying model assumptions. One important source of uncertainty in models for flow and transport processes in the subsurface is the model concept. While uncertain model parameters or forcing terms can be captured as random processes and random fields, this type of uncertainty cannot be included into a model in a straightforward manner. This is particularly true if established model descriptions of a given process are not known or are still being debated. In this contribution, we outline several examples of subsurface flow and transport modeling where uncertainty of the model concept plays an important role. We discuss the need for the development of methods and standards to deal with this type of uncertainty in model hypothesis testing.
ASJC Scopus Sachgebiete
- Umweltwissenschaften (insg.)
- Gewässerkunde und -technologie
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in: Water resources research, Jahrgang 53, Nr. 3, 09.03.2017, S. 1784-1791.
Publikation: Beitrag in Fachzeitschrift › Meinungsbeitrag › Forschung › Peer-Review
}
TY - JOUR
T1 - Debates—Hypothesis testing in hydrology
T2 - A subsurface perspective
AU - Neuweiler, Insa
AU - Helmig, Rainer
PY - 2017/3/9
Y1 - 2017/3/9
N2 - Models for flow in environmental systems are subject to uncertainty. Models can thus be interpreted as hypotheses on the validity of the underlying model assumptions. One important source of uncertainty in models for flow and transport processes in the subsurface is the model concept. While uncertain model parameters or forcing terms can be captured as random processes and random fields, this type of uncertainty cannot be included into a model in a straightforward manner. This is particularly true if established model descriptions of a given process are not known or are still being debated. In this contribution, we outline several examples of subsurface flow and transport modeling where uncertainty of the model concept plays an important role. We discuss the need for the development of methods and standards to deal with this type of uncertainty in model hypothesis testing.
AB - Models for flow in environmental systems are subject to uncertainty. Models can thus be interpreted as hypotheses on the validity of the underlying model assumptions. One important source of uncertainty in models for flow and transport processes in the subsurface is the model concept. While uncertain model parameters or forcing terms can be captured as random processes and random fields, this type of uncertainty cannot be included into a model in a straightforward manner. This is particularly true if established model descriptions of a given process are not known or are still being debated. In this contribution, we outline several examples of subsurface flow and transport modeling where uncertainty of the model concept plays an important role. We discuss the need for the development of methods and standards to deal with this type of uncertainty in model hypothesis testing.
KW - model development
KW - model hypotheses
KW - subsurface flow modeling
UR - http://www.scopus.com/inward/record.url?scp=85017029445&partnerID=8YFLogxK
U2 - 10.1002/2016WR020047
DO - 10.1002/2016WR020047
M3 - Comment/debate
AN - SCOPUS:85017029445
VL - 53
SP - 1784
EP - 1791
JO - Water resources research
JF - Water resources research
SN - 0043-1397
IS - 3
ER -