Pablo Mendoza
@pamendoz
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Hydrologist, pseudomusician and amateur runner.
Joined July 2020
📢 🚨 Paper Alert!! - We seek to understand the extent to which shifting from static to event-based subgrid schemes of orographic precipitation affects snowpack and hydrological portrayals. @nvasquezpl @octmur @EduMunozCastro @dicuchile @AMTCUChile
https://t.co/CV1qU4lY4Q
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New paper alert! We examine controls on the widely used Standardized Streamflow Index, highlighting the importance of careful selection of indices and timescales for drought characterization and monitoring. @Lema_23 @nvasquezpl @NCAR_Science @dicuchile
https://t.co/pHxbjntxeG
hess.copernicus.org
Abstract. Hydrological drought is one of the main hydroclimatic hazards worldwide, affecting water availability, ecosystems, and socioeconomic activities. This phenomenon is commonly characterized by...
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New paper alert! We show a robust signal from CMIP6 models projecting a warmer, drier, and less snowy future for continental Chile, along with spatial changes in Köppen–Geiger climate classes. @nvasquezpl @ScaffLucia @dicuchile @AMTCUChile
https://t.co/TCPxT3X30L
iopscience.iop.org
Robust spatial changes in climate classes: insights from bias-corrected CMIP6 models across Chile, Vásquez, Nicolás A, Mendoza, Pablo A, Lagos-Zuñiga, Miguel, Scaff, Lucía, Muñoz-Castro, Eduardo,...
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Very proud to share the first paper of @nvasquezpl's PhD! We unveil trade-offs in how GCM bias correction methods are applied for climate change impact assessments, regardless of the climate regime. @WouterKnoben @ArnalLouise @dicuchile @AMTCUChile
https://t.co/tsI8WxPPN7
agupubs.onlinelibrary.wiley.com
The choice of temporal stratification (TS) for GCM bias correction is crucial for removing biases, even for GCMs with good raw seasonality Different temporal stratifications used for GCM bias cor...
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Very happy to bring our Good Modelling Practice Session to #AGU24 this year! Hoping for more excellent contributions on things to look out for when setting up, calibrating or evaluating our models! Please consider submitting an abstract until July 31st!
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Paper alert! In this work, led by @FGatenho , we propose and demonstrate an approach for screening GCMs based on: (1) past performance, including teleconnections; and (2) code genealogy. @nvasquezpl @ClimaticChange_ @dicuchile @AMTCUChile
https://t.co/O59UmNKml4
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[Call for papers] Special Issue in Hydrological Processes: "Snow to flow: Linking snowpack to streamflow at multiple spatial and temporal scales" More information here ⤵️ https://t.co/TJn4uawOYI
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New paper alert 🚨🚨🚨 https://t.co/T9Ae2WuB7L This work was accepted at @EGU_HESS, AND I'll be presenting a poster on it at AMS today! We focused on testing the extent to which a snow-focused satellite could improve large-scale estimates of snow 1/
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Paper alert! In this work, led by Miguel Lagos, we shed light on the main large-scale processes driving recent trends in precipitation extremes across continental Chile. @rondax @meteodiego
@dicuchile @AMTCUChile @CR2_uchile @Dgf_uchile
https://t.co/oKQLoTkGke
link.springer.com
Climate Dynamics - We characterize trends in maximum seasonal daily precipitation (seasonal Rx1day), minimum (Tn), and maximum (Tx) daily temperatures during days with precipitation over...
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Excited to share that our paper on hydrologic sensitivities and ENSO variability received one of the 2022 WRR Editor's Choice Awards!! Link to the paper: https://t.co/mahob8nT4g
@dicuchile @AMTCUChile @Hydrology_AGU @AGUCatchHydro
agupubs.onlinelibrary.wiley.com
Sensitivity of annual streamflow to winter temperature is positive (negative) at low (high) altitudes, increasing with the evaporative index Sensitivity of annual streamflow to late spring temper...
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This week I discovered the NeuralHydrology package by @fkratzert and it is sublime💥 💥 💥 . Recommended for any water person beginning their LSTM journey!!
github.com
Python library to train neural networks with a strong focus on hydrological applications. - neuralhydrology/neuralhydrology
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Paper alert @EGU_HESS ! We explore the effects of calibration metric selection across mountainous basins, illustrating tradeoffs between seasonal forecast quality and the models' capability to simulate streamflow characteristics. @dicuchile, @AMTCUChile. https://t.co/mhe5qHEr2T
hess.copernicus.org
Abstract. Dynamical (i.e., model-based) methods are widely used by forecasting centers to generate seasonal streamflow forecasts, building upon process-based hydrological models that require parame...
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Presentations from our group at #AGU23 (part 2): H43P-2301: An Ensemble Gridded Precipitation and Temperature Dataset for Continental Chile (Diego Pinto) H43C-2089: Exploring the Potential of Discharge and SWE Data Assimilation for Improving Seasonal Forecasts (Jerónimo Sota)
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Looking forward to #AGU23! Presentations from our group (part 1): A13C-08: Pitfalls in using statistical bias-correction methods to characterize climate change impacts (Nico Vásquez). H23Y-1899: Towards Robust Seasonal Streamflow Forecasts in Mountainous Catchments (Diego Araya)
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Looking for a PhD? Don't miss the opportunity to work with the amazing @MusselmanKeith!
⛰️💧PhD opportunity in mountain hydrological modeling @CUBoulder Research will explore the interactions among climate change, mountain hydrology, & water availability across the Upper Colorado River Basin Apply before 27 October CSDMS posting: https://t.co/nNKhuIu225
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Paper alert @EGU_HESS ! We illustrate the impacts of river routing configurations for water resources applications. Led by @Nicortess96, in collaboration with @nvasquezpl, @naoki_mizukami and Ximena Vargas. @dicuchile @NCAR_RAL @NCAR_Science @AMTCUChile
https://t.co/eFYyXcF2JB
hess.copernicus.org
Abstract. Spatially distributed hydrology and land surface models are typically applied in combination with river routing schemes that convert instantaneous runoff into streamflow. Nevertheless, the...
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Paper alert #ERL! Hydrological regimes affect the predictability of river flow #extremes across Europe! We reveal geographical areas & periods where seasonal forecasts provide timely information on very high (#flood) & low (#drought) flow conditions. 👉 https://t.co/Hch5iinTg1
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How does the choice of calibration metric affect hydrologic model parameters? Are there connections between parameter (dis)agreement and catchment characteristics? We explored these questions here: https://t.co/GfKq3G6Y22
@EduMunozCastro @nvasquezpl @dicuchile @HydrolSciJ
tandfonline.com
We examine the extent to which the parameters of different types of catchments are sensitive to calibration criteria selection (i.e. parameter agreement), and explore possible connections with over...
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Dear colleagues, please consider this call for paper submissions to a special issue on "Water and Hazards in Mountainous Regions in a Changing Climate" in @FrontiersIn Water. https://t.co/Fjtp7HYShE
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