HWRS 696F.

Reference

Course documents

The syllabus, the instructor's introductory lecture notes, and the learning prompt.

All files

Every file in the archive, deduplicated by content — 67 files, 203 MB in total. Use the readings page if you want them organized by topic.

FileSize
01-feigl-2026-distilling-hydrological-and-land-surface-model-parameters-from-physio-geographical-properties-us.pdf5 MB
01-gupta-2025-on-generalization-language-interpretability-and-the-future-of-geo-scientific-machine-learning-in.pdf922 KB
01-jawad-et-al-2026-improving-model-performance-by-adapting-the-kge-metric-to-account-for-system-non-stationar.pdf10 MB
01-long-et-al-2026-in-dev-process-model-knowledge-graph-hvg-tca-081826-abstract.pdf93 KB
01-yan-2026-towards-a-reasoning-based-physics-informed-framework-for-efficient-parameter-specification-in-eart.pdf5 MB
02-gupta-2026-deep-learning-can-facilitate-physically-interpretable-geoscientific-modelling-naturewater-nvs.pdf720 KB
02-gupta-et-al-2009-decomposition-of-the-mean-squared-error-nse-performance-criteria-joh.pdf1017 KB
02-klotz-2017-symbolic-regression-for-the-estimation-of-transfer-functions-of-hydrological-models-wrr.pdf6 MB
02-nearing-et-al-2020-what-role-does-hydrological-science-play-in-the-age-of-machine-learning-wrr.pdf3 MB
02-zhu-2026-large-language-models-as-calibration-agents-in-hydrological-modeling-grl.pdf2 MB
02a-hvg-executive-summary-of-2020-nearing-et-al-wrr-what-role-does-hydrological-science-play-in-the-age-of-mac.pdf132 KB
03-gupta-et-al-2008-reconciling-theory-with-observations-towards-a-diagnostic-approach-to-model-evaluation-hp.pdf348 KB
03-martinez-gupta-2011-hydrologic-consistency-as-a-basis-for-assessing-complexity-of-water-balance-models-for-.pdf2 MB
03-yan-2026-ai-agent-for-hydrologic-modeling-definition-and-application-ess-open-archive.pdf16 MB
04-gupta-et-al-1998-towards-improved-calibration-of-hydrologic-models-multiple-and-non-commensurable-measures-.pdf1 MB
2026-hvg-notes-generic-claude-ai-prompt-for-learning-052026-v1.pdf115 KB
2026-williams-mind-over-metrics-how-can-we-tell-if-two-brains-or-ai-models-are-alike-the-transmitter-neuroscie.pdf4 MB
bahremand-2016-hess-opinions-advocating-process-modeling-hess-20-1433-2016.pdf145 KB
boyle-et-al-2000-towards-improved-calibration-combining-strengths-of-manual-auto-methods-wrr-36-12-2000.pdf332 KB
bulygina-gupta-2009-estimating-the-uncertain-mathematical-structure-of-a-water-balance-model-via-bayesian-data.pdf1020 KB
bulygina-gupta-2010-how-bayesian-data-assimilation-can-be-used-to-estimate-the-mathematical-structure-of-a-mod.pdf505 KB
bulygina-gupta-2011-correcting-the-mathematical-structure-of-a-hydrologic-model-via-bayesian-data-assimilation.pdf1 MB
clarke-et-al-2008-framework-for-understanding-structural-errors-fuse-a-modular-framework-to-diagnose-differenc.pdf2 MB
crochemore-et-al-2014-comparing-expert-judgement-and-numerical-criteria-for-hydrograph-evaluation-hp.pdf677 KB
de-la-fuente-et-al-2023-toward-a-multi-representational-approach-to-prediction-understanding-and-discovery-in-.pdf2 MB
de-la-fuente-et-al-2024-supplement-to-toward-interpretable-lstm-based-modeling-of-hydrological-systems-hess.pdf8 MB
de-la-fuente-et-al-2024-toward-interpretable-lstm-based-modeling-of-hydrological-systems-hess.pdf10 MB
de-la-fuente-et-al-2025-a-a-hydrolstm-based-machine-learning-approach-to-discovering-regionalized-representati.pdf4 MB
farmani-et-al-2026-in-review-process-aware-ai-for-rainfall-runoff-modeling-wrr-arxiv.pdf3 MB
feigl-et-al-2020-function-space-optimization-a-symbolic-regression-method-for-estimating-parameter-transfer-fu.pdf8 MB
feigl-et-al-2022-automatic-regionalization-of-model-parameters-for-hydrological-models-wrr.pdf2 MB
gauch-et-al-2023-in-defense-of-metrics-metrics-sufficiently-encode-typical-human-preferences-wrr.pdf829 KB
gharari-et-al-2014-a-constraint-based-search-algorithm-for-parameter-identification-of-environmental-models-he.pdf3 MB
gharari-et-al-2014-using-expert-knowledge-to-increase-realism-in-environmental-system-models-can-dramatically-.pdf2 MB
gharari-et-al-2021-understanding-the-information-content-in-the-hierarchy-of-model-development-decisions-learn.pdf5 MB
gupta-et-al-1999-status-of-automatic-calibration-for-multilevel-calibration-jhe.pdf248 KB
gupta-et-al-2012-towards-a-comprehensice-assessmnt-of-model-structural-adequacy-wrr-2011wr011044.pdf842 KB
gupta-et-al-2014-large-sample-hydrology-a-need-to-balance-depth-with-breadth-hess.pdf2 MB
gupta-kling-2011-on-typical-range-normalization-and-sensitivity-of-mse-nse-type-metrics-wrr.pdf179 KB
gupta-nearing-2014-debates-on-future-of-hyd-sciences-using-models-and-data-to-learn-wrr.pdf425 KB
hogue-et-al-2000-a-multistep-automatic-calibration-scheme-for-river-forecasting-models-jhm.pdf338 KB
hogue-et-al-2006-a-user-friendly-approach-to-parameter-estimation-in-hydrologic-models-joh.pdf444 KB
hsu-et-al-1995-artificial-neural-network-modeling-of-the-rainfall-runoff-process-wrr-31-10-1995.pdf2 MB
hsu-et-al-2002-self-organizing-linear-output-map-solo-an-artificial-neural-network-suitable-for-hydrologic-mod.pdf791 KB
hvg-course-introduction-notes-082526.pdf129 KB
hvg-course-introduction-notes-082726.pdf224 KB
hwrs-696f-the-future-of-geoscientific-modeling-fall-2026-version-091526.pdf260 KB
jiang-et-al-2025-knowledge-distillation-as-a-pathway-toward-next-generation-intelligent-ecohydrological-modeli.pdf6 MB
jiang-et-al-2026-in-review-structure-function-coarsening-for-cross-resolution-ecohydrological-modeling-wrr.pdf8 MB
kumar-gupta-2020-debates-does-information-theory-provide-a-new-paradigm-for-earth-science-wrr.pdf288 KB
l01-m01-what-is-a-system-hwrs-428-528-21-slides.pdf8 MB
l01-m02-what-is-a-model-hwrs-428-528-28-slides.pdf6 MB
l02-m03-stages-in-model-development-hwrs-428-528-13-slides.pdf1 MB
l02-m04-main-scientific-hypotheses-encoded-in-a-pb-desm-hwrs-428-528-34-slides.pdf3 MB
l03-m05-the-basic-reservoir-model-hwrs-428-528-16-slides.pdf1 MB
l03-m06-language-definitions-hwrs-428-528-4-slides.pdf307 KB
nearing-and-gupta-2018-ensembles-vs-information-theory-supporting-science-under-uncertainty-fesci.pdf301 KB
nearing-et-al-2020-does-information-theory-provide-a-new-paradigm-for-earth-science-hypothesis-testing-wrr.pdf2 MB
nearing-gupta-2018-uncertainty-vs-information-as-a-foundation-for-science.pdf8 MB
shamir-et-al-2005-application-of-of-temporal-streamflow-descriptors-in-downward-par-est-wrr.pdf714 KB
shamir-et-al-2005-role-of-hydrograph-indices-in-par-estimation-hp.pdf1 MB
wang-et-al-2025-in-review-towards-conus-wide-ml-augmented-conceptually-interpretable-modeling-of-catchment-sca.pdf24 MB
wang-gupta-2024-a-mass-conserving-perceptron-for-machine-learning-based-modeling-of-geoscientific-systems-wrr.pdf2 MB
wang-gupta-2024-towards-interpretable-physical-conceptual-catchment-scale-hydrological-modeling-using-the-mass.pdf3 MB
wang-gupta-2025-using-machine-learning-to-discover-parsimonious-and-physically-interpretable-representations-o.pdf9 MB
weijs-ruddell-2020-debates-does-information-theory-provide-a-new-paradigm-for-earth-science.pdf649 KB
yilmaz-et-al-2008-a-process-based-diagnostic-approach-to-model-evaluation-wrr-2007wr006716-2008.pdf859 KB