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<span class="date">12 December 2024</span>
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<h2 class='excerpt-title'>
<a href="/post/research/espinoza2024multifreq/ "> Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell </a>
</h2>
</div>
<div class='excerpt-content'>
<article>
<p>Another approach for handling multiple frequencies in a single LSTM based model.</p>
<div class="more-link-wrapper"><a class="more-link" href="/post/research/espinoza2024multifreq/">Read the
post<span class="screen-reader-text">This is a Standard Post</span></a></div>
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<span class="date">11 November 2024</span>
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<div class='excerpt-header'>
<h2 class='excerpt-title'>
<a href="/post/datasets/shalev2024multimet/ "> Caravan MultiMet: Extending Caravan with Multiple Weather Nowcasts and Forecasts </a>
</h2>
</div>
<div class='excerpt-content'>
<article>
<p>Additional hindcast/nowcast and weather forecast features for all gauges in Caravan.</p>
<div class="more-link-wrapper"><a class="more-link" href="/post/datasets/shalev2024multimet/">Read the
post<span class="screen-reader-text">This is a Standard Post</span></a></div>
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<span class="date">09 September 2024</span>
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<div class='excerpt-header'>
<h2 class='excerpt-title'>
<a href="/post/research/kratzert2024never/ "> HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basin </a>
</h2>
</div>
<div class='excerpt-content'>
<article>
<p>Never, never, (really never!?) train an LSTM on a single basin. Or should you?</p>
<div class="more-link-wrapper"><a class="more-link" href="/post/research/kratzert2024never/">Read the
post<span class="screen-reader-text">This is a Standard Post</span></a></div>
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<a class="featured-image-link" href="/post/research/auer2024hopcpt/">
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<span class="date">09 September 2024</span>
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<div class='excerpt-header'>
<h2 class='excerpt-title'>
<a href="/post/research/auer2024hopcpt/ "> A data-centric perspective on the information needed for hydrological uncertainty predictions </a>
</h2>
</div>
<div class='excerpt-content'>
<article>
<p>We use the framework of conformal prediction to investigate the impact of temporal and spatial information on uncertainty estimates within hydrological predictions.</p>
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post<span class="screen-reader-text">This is a Standard Post</span></a></div>
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<a class="featured-image-link" href="/post/research/klotz2024damn/">
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<span class="date">08 August 2024</span>
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<div class='excerpt-header'>
<h2 class='excerpt-title'>
<a href="/post/research/klotz2024damn/ "> Technical Note: The divide and measure nonconformity – how metrics can mislead when we evaluate on different data partitions </a>
</h2>
</div>
<div class='excerpt-content'>
<article>
<p>The evaluation of model performance is an essential part of hydrological modeling. However …</p>
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post<span class="screen-reader-text">This is a Standard Post</span></a></div>
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<a class="featured-image-link" href="/post/research/espinoza2024extreme/">
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<span class="date">07 July 2024</span>
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<a href="/categories/paper">paper</a>
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<a href="/categories/code">code</a>
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<div class='excerpt-header'>
<h2 class='excerpt-title'>
<a href="/post/research/espinoza2024extreme/ "> Analyzing the generalization capabilities of hybrid hydrological models for extrapolation to extreme events </a>
</h2>
</div>
<div class='excerpt-content'>
<article>
<p>Comparing LSTMs to hybrid deep learning models on generalization capabilities during extreme events.</p>
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post<span class="screen-reader-text">This is a Standard Post</span></a></div>
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<a class="featured-image-link" href="/post/research/loritz2024sapflow/">
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<div class="excerpt-meta">
<span class="date">04 April 2024</span>
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<span class="category">
<a href="/categories/paper">paper</a>
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<a href="/categories/code">code</a>
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<div class='excerpt-header'>
<h2 class='excerpt-title'>
<a href="/post/research/loritz2024sapflow/ "> Generalizing Tree–Level Sap Flow Across the European Continent </a>
</h2>
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<div class='excerpt-content'>
<article>
<p>Research study investigating the regional LSTM approach for sap flow prediction.</p>
<div class="more-link-wrapper"><a class="more-link" href="/post/research/loritz2024sapflow/">Read the
post<span class="screen-reader-text">This is a Standard Post</span></a></div>
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<span class="date">04 April 2024</span>
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<a href="/post/research/nearing2024nature/ "> Global prediction of extreme floods in ungauged watersheds </a>
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<p>Benchmarking study of Google’s operational Flood Forecasting model compared to GloFAS.</p>
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<span class="date">05 May 2023</span>
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<a href="/post/research/gauch2022metrics/ "> In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance </a>
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<p>In this paper, we present the results of the “Rate My Hydrograph” study, where we compare expert ratings of simulated hydrographs with quantitative metrics.</p>
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<span class="date">05 May 2023</span>
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<a href="/post/research/klotz2023egu/ "> The persistence of errors: How evaluating models over data partitions relates to a global evaluation </a>
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<p>Oral presentation for EGU General Assembly 2023. This is one about a certain phenomena that appears when we evaluate a model over subsets of the data. Eventually the plan is to make a technical note out of it.</p>
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<span class="date">08 August 2022</span>
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<a href="/post/research/nevo2021operational/ "> Flood forecasting with machine learning models in an operational framework </a>
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<article>
<p>In this paper, we present the full operational framework used by the Flood Forecasting team at Google.</p>
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<span class="date">07 July 2022</span>
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<a href="/post/research/mai2022grip/ "> The Great Lakes Runoff Intercomparison Project Phase 4: the Great Lakes (GRIP-GL) </a>
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<p>This paper performs a rigorous benchmark of traditional hydrologic models and an LSTM-based model for rainfall-runoff modeling.</p>
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<span class="date">06 June 2022</span>
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<a href="/post/research/lees2021concept/ "> Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks </a>
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<article>
<p>In this paper, we investigate what information the LSTM captures about the hydrological system.</p>
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<span class="date">06 June 2022</span>
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<a href="/post/research/kratzert2022caravan/ "> Caravan - A global community dataset for large-sample hydrology </a>
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<article>
<p>This paper introduces the <a href="https://github.com/kratzert/Caravan/">Caravan dataset</a>, a global large-sample hydrology dataset that builds on cloud computing to be extensible by anyone.</p>
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<span class="date">05 May 2022</span>
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<a href="/post/research/gauch2022egu/ "> Rate my Hydrograph: Evaluating the Conformity of Expert Judgment and Quantitative Metrics </a>
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<p>Oral presentation at the EGU General Assembly 2022 on a social study to compare expert rankings of simulated hydrographs with quantitative metrics.</p>
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