Peter Uhe
Biographic Data
| ID | 7994394 |
|---|---|
| NAME | Peter Uhe |
| GIVEN NAMES | Peter |
| FAMILY NAME | Uhe |
| SIGNATURE | UHE P |
| AFFILIATIONS | University of Oxford |
| ORCID | 0000-0003-4644-8559 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
FathomDEM
The Earth’s terrain is linked to many physical processes, and gaining the most accurate representation is key to work in many sectors from engineering to natural hazards modeling and ecology. Existing global digital elevation models (DEMs) are widely used, however often suffer from systematic biases caused by trees, buildings and instrumentation error, ultimately limiting their effectiveness. We present here, FathomDEM, a new global 30 m DEM prod…
A 30 m global map of elevation with forests and buildings removed
Elevation data are fundamental to many applications, especially in geosciences. The latest global elevation data contains forest and building artifacts that limit its usefulness for applications that require precise terrain heights, in particular flood simulation. Here, we use machine learning to remove buildings and forests from the Copernicus Digital Elevation Model to produce, for the first time, a global map of elevation with buildings and fo…
Enhanced flood risk with 1.5 °C global warming in the Ganges–Brahmaputra–Meghna basin
Flood hazard is a global problem, but regions such as south Asia, where people’s livelihoods are highly dependent on water resources, can be affected disproportionally. The 2017 monsoon flooding in the Ganges–Brahmaputra–Meghna (GBM) basin, with record river levels observed, resulted in ∼1200 deaths, and dramatic loss of crops and infrastructure. The recent Paris Agreement called for research into impacts avoided by stabilizing climate at 1.5 °C …
Climate change increases the probability of heavy rains in Northern England/Southern Scotland like those of storm Desmond—a real-time event attribution revisited
On 4-6 December 2015, the storm ``Desmond'' caused very heavy rainfall in northern England and Scotland, which led to widespread flooding. A week after the event we provided an initial assessment of the influence of anthropogenic climate change on the likelihood of one-day precipitation events averaged over an area encompassing northern England and southern Scotland using data and methods available immediately after the event occurred. The analys…
Real-time extreme weather event attribution with forecast seasonal SSTs
Within the last decade, extreme weather event attribution has emerged as a new field of science and garnered increasing attention from the wider scientific community and the public. Numerous methods have been put forward to determine the contribution of anthropogenic climate change to individual extreme weather events. So far nearly all such analyses were done months after an event has happened. Here we present a new method which can assess the f…
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Real-time extreme weather event attribution with forecast seasonal SSTs
Within the last decade, extreme weather event attribution has emerged as a new field of science and garnered increasing attention from the wider scientific community and the public. Numerous methods have been put forward to determine the contribution of anthropogenic climate change to individual extreme weather events. So far nearly all such analyses were done months after an event has happened. Here we present a new method which can assess the f…
Climate change increases the probability of heavy rains in Northern England/Southern Scotland like those of storm Desmond—a real-time event attribution revisited
On 4-6 December 2015, the storm ``Desmond'' caused very heavy rainfall in northern England and Scotland, which led to widespread flooding. A week after the event we provided an initial assessment of the influence of anthropogenic climate change on the likelihood of one-day precipitation events averaged over an area encompassing northern England and southern Scotland using data and methods available immediately after the event occurred. The analys…
Enhanced flood risk with 1.5 °C global warming in the Ganges–Brahmaputra–Meghna basin
Flood hazard is a global problem, but regions such as south Asia, where people’s livelihoods are highly dependent on water resources, can be affected disproportionally. The 2017 monsoon flooding in the Ganges–Brahmaputra–Meghna (GBM) basin, with record river levels observed, resulted in ∼1200 deaths, and dramatic loss of crops and infrastructure. The recent Paris Agreement called for research into impacts avoided by stabilizing climate at 1.5 °C …
A 30 m global map of elevation with forests and buildings removed
Elevation data are fundamental to many applications, especially in geosciences. The latest global elevation data contains forest and building artifacts that limit its usefulness for applications that require precise terrain heights, in particular flood simulation. Here, we use machine learning to remove buildings and forests from the Copernicus Digital Elevation Model to produce, for the first time, a global map of elevation with buildings and fo…
FathomDEM
The Earth’s terrain is linked to many physical processes, and gaining the most accurate representation is key to work in many sectors from engineering to natural hazards modeling and ecology. Existing global digital elevation models (DEMs) are widely used, however often suffer from systematic biases caused by trees, buildings and instrumentation error, ultimately limiting their effectiveness. We present here, FathomDEM, a new global 30 m DEM prod…
Environmental Science (5 works) · Geology (5 works) · Climate change (4 works) · Geography (4 works) · Meteorology (4 works) · Climate model (3 works) · Climatology (3 works) · Oceanography (3 works) · Climate variability and models (2 works) · Event (particle physics (2 works)