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Modeling errors in daily precipitation measurements: Additive or multiplicative?

نوع: Journal Paper

ناشر: Wiley

سال: 2013

Groundwater remediation using the information gap decision theory

نوع: Journal Paper

نویسنده : O'Malley, D. - Vesselinov, V. V.

ناشر: American Geophysical Union

سال: 2014

Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

Factors contributing to uncertainty in Pacific Decadal Oscillation index

نوع: Journal Paper

نویسنده : Wen, Caihong - Kumar, Arun - Xue, Yan

ناشر: American Geophysical Union

سال: 2014

Climate model genealogy: Generation CMIP5 and how we got there

نوع: Journal Paper

ناشر: Wiley

سال: 2013

Debatesâ€”the future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science

نوع: Journal Paper

نویسنده : Gupta, Hoshin V. - Nearing, Grey S.

ناشر: American Geophysical Union

سال: 2014

Beyond optimality: Multistakeholder robustness tradeoffs for regional water portfolio planning under deep uncertainty

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

An information theoretic alternative to model a natural system using observational information alone

نوع: Journal Paper

نویسنده : Sharma, Ashish - Mehrotra, Raj

ناشر: American Geophysical Union

سال: 2014

Historical and future learning about climate sensitivity

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

The 10,240 member ensemble Kalman filtering with an intermediate AGCM

نوع: Journal Paper

ناشر: American Geophysical Union

سال: 2014

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Modeling errors in daily precipitation measurements: Additive or multiplicative?

Groundwater remediation using the information gap decision theory

Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity

Factors contributing to uncertainty in Pacific Decadal Oscillation index

Climate model genealogy: Generation CMIP5 and how we got there

Debatesâ€”the future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science

Beyond optimality: Multistakeholder robustness tradeoffs for regional water portfolio planning under deep uncertainty

An information theoretic alternative to model a natural system using observational information alone

Historical and future learning about climate sensitivity

The 10,240 member ensemble Kalman filtering with an intermediate AGCM

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Modeling errors in daily precipitation measurements: Additive or multiplicative?

Groundwater remediation using the information gap decision theory

Comparison of joint versus postprocessor approaches for hydrological uncertainty estimation accounting for error autocorrelation and heteroscedasticity

Factors contributing to uncertainty in Pacific Decadal Oscillation index

Climate model genealogy: Generation CMIP5 and how we got there

Debatesâ€”the future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science

Beyond optimality: Multistakeholder robustness tradeoffs for regional water portfolio planning under deep uncertainty

An information theoretic alternative to model a natural system using observational information alone

Historical and future learning about climate sensitivity

The 10,240 member ensemble Kalman filtering with an intermediate AGCM