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The Statistical DownScaling Model: insights from one decade of application

International journal of climatology, 2013-06, Vol.33 (7), p.1707-1719

2013

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A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK

Water resources research, 2006-02, Vol.42 (2), p.W02419-n/a

2006

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A review of the potential impacts of climate change on surface water quality

Hydrological sciences journal, 2009-02, Vol.54 (1), p.101-123

2009

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Scenario-neutral approach to climate change impact studies: Application to flood risk

Journal of hydrology (Amsterdam), 2010-09, Vol.390 (3), p.198-209

2010

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Quantifying different sources of uncertainty in hydrological projections in an Alpine watershed

Hydrology and earth system sciences, 2012-11, Vol.16 (11), p.4343-4360

2012

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Inferring air–water temperature relationships from river and catchment properties

Hydrological processes, 2014-03, Vol.28 (6), p.2912-2928

2014

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Climate change and fluvial flood risk in the UK: more of the same

Hydrological processes, 2008-07, Vol.22 (14), p.2511-2523

2008

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Rainfall and temperature estimation for a data sparse region

Hydrology and earth system sciences, 2013-10, Vol.17 (10), p.3937-3955

2013

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Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic?

Environmental research letters, 2022-04, Vol.17 (4), p.44052

2022

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The Statistical DownScaling Model − Decision Centric (SDSM-DC): conceptual basis and applications

Climate research, 2014-10, Vol.61 (3), p.259-276

2014

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Super Storm Desmond: a process-based assessment

Environmental research letters, 2018-01, Vol.13 (1), p.14024

2018

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An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions

Meteorological applications, 2022-05, Vol.29 (3), p.n/a

2022

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Hydrological modelling using artificial neural networks

Progress in physical geography, 2001-03, Vol.25 (1), p.80-108

2001

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Evidence needed to manage freshwater ecosystems in a changing climate: Turning adaptation principles into practice

The Science of the total environment, 2010-09, Vol.408 (19), p.4150-4164

2010

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The weather generation game: a review of stochastic weather models

Progress in physical geography, 1999-09, Vol.23 (3), p.329-357

1999

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Monitoring and moderating extreme indoor temperatures in low-income urban communities

Environmental research letters, 2021-02, Vol.16 (2), p.24033

2021

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Downscaling general circulation model output: a review of methods and limitations

Progress in Physical Geography: Earth and Environment, 1997-12, Vol.21 (4), p.530-548

1997

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Flood estimation at ungauged sites using artificial neural networks

Journal of hydrology (Amsterdam), 2006-03, Vol.319 (1), p.391-409

2006

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Nocturnal river water temperatures: Spatial and temporal variations

The Science of the total environment, 2014-06, Vol.482-483, p.157-173

2014

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Hallmarks of organisations that are adapting to climate change

Water and environment journal : WEJ, 2011-06, Vol.25 (2), p.271-281

2011

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Flow pathways and nutrient transport mechanisms drive hydrochemical sensitivity to climate change across catchments with different geology and topography

Hydrology and earth system sciences, 2014-12, Vol.18 (12), p.5125-5148

2014

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A comparison of downscaled and raw GCM output: implications for climate change scenarios in the San Juan River basin, Colorado

Journal of hydrology (Amsterdam), 1999-11, Vol.225 (1), p.67-91

1999

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Statistical downscaling of general circulation model output: A comparison of methods

Water resources research, 1998-11, Vol.34 (11), p.2995-3008

1998

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Precipitation predictors for downscaling: observed and general circulation model relationships

International journal of climatology, 2000-05, Vol.20 (6), p.641-661

2000

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Conditioning temperature‐index model parameters on synoptic weather types for glacier melt simulations

Hydrological processes, 2015-03, Vol.29 (6), p.1027-1045

2015

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The Statistical DownScaling Model: insights from one decade of application

A framework for assessing uncertainties in climate change impacts: Low-flow scenarios for the River Thames, UK

A review of the potential impacts of climate change on surface water quality

Scenario-neutral approach to climate change impact studies: Application to flood risk

Quantifying different sources of uncertainty in hydrological projections in an Alpine watershed

Inferring air–water temperature relationships from river and catchment properties

Climate change and fluvial flood risk in the UK: more of the same

Rainfall and temperature estimation for a data sparse region

Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic?

The Statistical DownScaling Model − Decision Centric (SDSM-DC): conceptual basis and applications

Super Storm Desmond: a process-based assessment

An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions

Hydrological modelling using artificial neural networks

Evidence needed to manage freshwater ecosystems in a changing climate: Turning adaptation principles into practice

The weather generation game: a review of stochastic weather models

Monitoring and moderating extreme indoor temperatures in low-income urban communities

Downscaling general circulation model output: a review of methods and limitations

Flood estimation at ungauged sites using artificial neural networks

Nocturnal river water temperatures: Spatial and temporal variations

Hallmarks of organisations that are adapting to climate change

Flow pathways and nutrient transport mechanisms drive hydrochemical sensitivity to climate change across catchments with different geology and topography

A comparison of downscaled and raw GCM output: implications for climate change scenarios in the San Juan River basin, Colorado

Statistical downscaling of general circulation model output: A comparison of methods

Precipitation predictors for downscaling: observed and general circulation model relationships

Conditioning temperature‐index model parameters on synoptic weather types for glacier melt simulations

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