Global Hydropower Simulation - Forecast_2022
This resource contains the hydropower time series for 735 headwater hydropower dams operating under 3 different schemes – control rules, forecast-informed operations with perfect forecast, and forecast informed operations with deterministic forecast. The deterministic streamflow forecasts depend on...
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dataone:sha256:60914e837dce81f172501425713889f8268d2670aa9a811d0765b76a50c591f4 2024-06-03T18:47:01+00:00 Global Hydropower Simulation - Forecast_2022 Donghoon Lee Jia Yi Ng Stefano Galelli Paul Block ENVELOPE(-125.5871,176.7896,68.8154,-45.8796) BEGINDATE: 1958-10-01T00:00:00Z ENDDATE: 2000-06-30T00:00:00Z 2022-04-08T15:31:28.084Z https://search.dataone.org/view/sha256:60914e837dce81f172501425713889f8268d2670aa9a811d0765b76a50c591f4 unknown global climate variability streamflow forecast hydropower model predictive control Dataset 2022 dataone:urn:node:HYDROSHARE 2024-06-03T18:18:27Z This resource contains the hydropower time series for 735 headwater hydropower dams operating under 3 different schemes – control rules, forecast-informed operations with perfect forecast, and forecast informed operations with deterministic forecast. The deterministic streamflow forecasts depend on seven drivers, that is, four large scale climate drivers— El Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO)—and three variables accounting for local processes—lagged inflow, snowfall, and soil moisture. Start exploring the data by downloading the Rdata together with the open_file.R script. You will be able to find monthly-resolution time series outputs of our simulation, including the hydropower production, storage level, and water releases for each dam. Dataset North Atlantic North Atlantic oscillation Unknown Pacific ENVELOPE(-125.5871,176.7896,68.8154,-45.8796) |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
dataone:urn:node:HYDROSHARE |
language |
unknown |
topic |
global climate variability streamflow forecast hydropower model predictive control |
spellingShingle |
global climate variability streamflow forecast hydropower model predictive control Donghoon Lee Jia Yi Ng Stefano Galelli Paul Block Global Hydropower Simulation - Forecast_2022 |
topic_facet |
global climate variability streamflow forecast hydropower model predictive control |
description |
This resource contains the hydropower time series for 735 headwater hydropower dams operating under 3 different schemes – control rules, forecast-informed operations with perfect forecast, and forecast informed operations with deterministic forecast. The deterministic streamflow forecasts depend on seven drivers, that is, four large scale climate drivers— El Niño Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Pacific Decadal Oscillation (PDO), and Atlantic Multidecadal Oscillation (AMO)—and three variables accounting for local processes—lagged inflow, snowfall, and soil moisture. Start exploring the data by downloading the Rdata together with the open_file.R script. You will be able to find monthly-resolution time series outputs of our simulation, including the hydropower production, storage level, and water releases for each dam. |
format |
Dataset |
author |
Donghoon Lee Jia Yi Ng Stefano Galelli Paul Block |
author_facet |
Donghoon Lee Jia Yi Ng Stefano Galelli Paul Block |
author_sort |
Donghoon Lee |
title |
Global Hydropower Simulation - Forecast_2022 |
title_short |
Global Hydropower Simulation - Forecast_2022 |
title_full |
Global Hydropower Simulation - Forecast_2022 |
title_fullStr |
Global Hydropower Simulation - Forecast_2022 |
title_full_unstemmed |
Global Hydropower Simulation - Forecast_2022 |
title_sort |
global hydropower simulation - forecast_2022 |
publishDate |
2022 |
url |
https://search.dataone.org/view/sha256:60914e837dce81f172501425713889f8268d2670aa9a811d0765b76a50c591f4 |
op_coverage |
ENVELOPE(-125.5871,176.7896,68.8154,-45.8796) BEGINDATE: 1958-10-01T00:00:00Z ENDDATE: 2000-06-30T00:00:00Z |
long_lat |
ENVELOPE(-125.5871,176.7896,68.8154,-45.8796) |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
_version_ |
1800874748033368064 |