Amanote Research

Amanote Research

    RegisterSign In

A Quantitative Hydrological Climate Classification Evaluated With Independent Streamflow Data

Water Resources Research - United States
doi 10.1029/2018wr022913
Full Text
Open PDF
Abstract

Available in full text

Categories
Water ScienceTechnology
Date

July 1, 2018

Authors
Wouter J. M. KnobenRoss A. WoodsJim E. Freer
Publisher

American Geophysical Union (AGU)


Related search

Value of Uncertain Streamflow Observations for Hydrological Modelling

2018English

The Influence of Global Climate and Local Hydrological Variations Over Streamflow Extremes: The Tropical-Mountain Case

2019English

Value of Uncertain Streamflow Observations for Hydrological Modelling

2018English

Parameterizing Sub-Surface Drainage With Geology to Improve Modeling Streamflow Responses to Climate in Data Limited Environments

Hydrology and Earth System Sciences
EarthWater SciencePlanetary SciencesTechnology
2013English

Multivariate Streamflow Forecasting Using Independent Component Analysis

Water Resources Research
Water ScienceTechnology
2008English

Scanning Quadrupole Data-Independent Acquisition Part A: Qualitative and Quantitative Characterization

English

A Proposed Streamflow Data Program for Ohio

Open-File Report
1970English

Quantitative Evaluation of Spatial Interpolation Models Based on a Data-Independent Method

2011English

Can Assimilation of Crowdsourced Streamflow Observations in Hydrological Modelling Improve Flood Prediction?

Hydrology and Earth System Sciences Discussions
EarthEarth-Surface ProcessesPlanetary Sciences
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy