AdaptationBayesian learningclimateextremeslearningweatherClimate change will push the weather experienced by people affected outside the bounds of historic norms, resulting in unprecedented weather events. But people and firms should be able to learn from their experience of unusual weather and adjust ...
7). We evaluate the performance of NeuralGCM at a range of timescales appropriate for weather forecasting and climate simulation. For weather, we compare against the best-in-class conventional physics-based weather models, ECMWF’s high-resolution model (ECMWF-HRES) and ensemble prediction system ...
Extreme weather events Climate change Agricultural adaptation Food production Farm management Risk perception The Netherlands Rhine delta 1. Introduction The agricultural sector is adversely and extensively impacted by global climate change (CC) manifest by extreme weather events (EWEs), such as intense ra...
Using novel methodology and proprietary daily store-level sporting goods and apparel brand data, I find that, consistent with long-run adaptation to climate, sales sensitivity to weather declines with historical norms and variability of weather. Short-run adaptation to weather shocks is dominated by ...
"Education is one of the services most frequently disrupted due to climate hazards. Yet it is often overlooked in policy discussions, despite its role in preparing children for climate adaptation," Russell said. "Children's futures must be at the forefront of all climate related plans and action...
Climate change adaptation and coping strategies have remained a global concern for decades. One of the key reasons for the failure of disaster risk management in climate-vulnerable countries like Bangladesh is that the government always emphasizes response and recovery over monitoring, preparedness, and...
Climate change is shaping extreme heat and rain. To what degree human activity has increased the risk of high impact events is of high public concern and still heavily debated. Recent studies attributed single extreme events to climate change by comparin
. These advancements raise the expectation that this branch of climate science can contribute to climate adaptation efforts. This paper examines the normative underpinnings of these policy discussions. To date, the debates revolve around whether the findings of attribution science can be used to ...
to match historical data remains a manual process5, and GCMs retain many persistent errors and biases6,7,8. The difficulty of reducing uncertainty in long-term climate projections9and estimating distributions of extreme weather events10presents major challenges for climate mitigation and adaptation11. ...
The alternative intensity approach calculates what share of a specific aspect of the risk (e.g., rainfall) was due to climate change. For instance, the 2017 Hurricane Harvey’s climate change-induced economic costs were analyzed by both risk-based7 and intensity-based8 approaches. The economic...