Convection‐permitting modeling with regional climate models: Latest developments and next steps

P Lucas‐Picher, D Argüeso, E Brisson… - Wiley …, 2021 - Wiley Online Library
Approximately 10 years ago, convection‐permitting regional climate models (CPRCMs)
emerged as a promising computationally affordable tool to produce fine resolution (1–4 km) …

Assessing placement bias of the global river gauge network

CA Krabbenhoft, GH Allen, P Lin, SE Godsey… - Nature …, 2022 - nature.com
Knowing where and when rivers flow is paramount to managing freshwater ecosystems. Yet
stream gauging stations are distributed sparsely across rivers globally and may not capture …

Reconciling disagreement on global river flood changes in a warming climate

S Zhang, L Zhou, L Zhang, Y Yang, Z Wei… - Nature Climate …, 2022 - nature.com
An intensified hydrological cycle with global warming is expected to increase the intensity
and frequency of extreme precipitation events. However, whether and to what extent the …

On doing hydrology with dragons: Realizing the value of perceptual models and knowledge accumulation

T Wagener, T Gleeson, G Coxon… - Wiley …, 2021 - Wiley Online Library
Our ability to fully and reliably observe and simulate the terrestrial hydrologic cycle is limited,
and in‐depth experimental studies cover only a tiny fraction of our landscape. On medieval …

Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach

L Zhang, X Li, D Zheng, K Zhang, Q Ma, Y Zhao… - Journal of Hydrology, 2021 - Elsevier
This study proposed a novel double machine learning (DML) approach to merge multiple
satellite-based precipitation products (SPPs) and gauge observations, and tested its …

Limited plasticity in thermally tolerant ectotherm populations: evidence for a trade-off

JM Barley, BS Cheng, M Sasaki… - … of the Royal …, 2021 - royalsocietypublishing.org
Many species face extinction risks owing to climate change, and there is an urgent need to
identify which species' populations will be most vulnerable. Plasticity in heat tolerance …

Multi-hazard susceptibility and exposure assessment of the Hindu Kush Himalaya

J Rusk, A Maharjan, P Tiwari, THK Chen… - Science of the total …, 2022 - Elsevier
Mountainous regions are highly hazardous, and these hazards often lead to loss of human
life. The Hindu Kush Himalaya (HKH), like many mountainous regions, is the site of multiple …

[HTML][HTML] The suitability of differentiable, physics-informed machine learning hydrologic models for ungauged regions and climate change impact assessment

D Feng, H Beck, K Lawson… - Hydrology and Earth …, 2023 - hess.copernicus.org
As a genre of physics-informed machine learning, differentiable process-based hydrologic
models (abbreviated as δ or delta models) with regionalized deep-network-based …

[HTML][HTML] The CORDEX-CORE EXP-I initiative: description and highlight results from the initial analysis

F Giorgi, E Coppola, D Jacob… - Bulletin of the …, 2022 - journals.ametsoc.org
We describe the first effort within the Coordinated Regional Climate Downscaling
Experiment–Coordinated Output for Regional Evaluation, or CORDEX-CORE EXP-I. It …

High-resolution monthly precipitation and temperature time series from 2006 to 2100

DN Karger, DR Schmatz, G Dettling, NE Zimmermann - Scientific data, 2020 - nature.com
Predicting future climatic conditions at high spatial resolution is essential for many
applications and impact studies in science. Here, we present monthly time series data on …