NSTL国家科技图书文献中心

1. Evaluation of evapotranspiration data and gridded products using robust linear estimators in Colombia NSTL国家科技图书文献中心

Araujo-Carrillo, Gus... | Duarte-Carvajalino, ...... - 《Theoretical and Applied Climatology》 - 2025,156(4) - 1.1～1.16 - 共16页

摘要： upscaling it over extensive areas, especially where data | such as TERRACLIMATE, NASA POWER, and DMETREF | legacy data* from the available IDEAM weather stations* | TERRACLIMATE (R2 = 0.75, RMSE = 311 mm) performs better than | ET data* and gridded products, particularly*

关键词： ENERGY-BALANCE | CAUTIONARY NOTE | HEAT-FLUX | EVAPORATION | MODEL | SOIL | DRIVEN | WATER | SEBS

2. Staunch Defender of COP27: A 20-Year Journey of Land Revegetation Projects in China NSTL国家科技图书文献中心

Peng, Xiangbin | Xu, Dong ... - 《Land Degradation and Development》 - 2025,36(5) - 1677～1694 - 共18页

摘要： utilized NDVI, NPP, and TerraClimate* data to* | 2022, utilized various remote sensing data* sources* | In response to the risks posed by urbanization | and climate change to land availability, China has | implemented several significant land cover restoration

关键词： climate change | COP27 | human activities | land revegetation projects | sustainable development | vegetation ecological quality index

3. Rainfall From Brazilian Flying Rivers: Evaluating the Effectiveness of Precipitation Gridded Databases NSTL国家科技图书文献中心

Amaral e Silva, Arth... | de Assis, Leonardo C...... - 《International Journal of Climatology》 - 2025,45(2) - n/a～n/a - 共18页

摘要： disaster management. Data* from ground stations, radars* | , TerraClimate, and PERSIANN use different approaches to | analyse precipitation data, which is key to | evaluated (rainfall data) from these four climate models | analyses. TerraClimate, initially the lowest-performing

关键词： Amazon rainforest | flying Rivers | precipitation models | remote sensing | statistical analysis

4. SPEI and SPI correlation in the study of drought phenomena in Umbria region (central Italy) NSTL国家科技图书文献中心

Sara,Venturi | Daniel,Dunea ... - 《Environmental Science and Pollution Research》 - 2025,32(1) - 168～188 - 共21页

摘要： series of precipitation and temperature data* (from 1961* | monitoring of rainfall and temperature data, limiting as | of using ERA 5 reanalysis data* was also explored* | the temperature data* is reliable, the total* | Terraclimate, should have to be considered to improve the

关键词： Drought indices | Umbria region | SPEI-SPI correlation | Climate trend | ERA 5 reanalysis | CHIRPS | Climate Engine

5. Assessing the influence of climate and land use/land cover changes on groundwater levels in arid and semi-arid regions: a geoinformatics-based machine learning approach in the Iraqi Kurdistan Region NSTL国家科技图书文献中心

Fatah, Kaiwan K. | Mustafa, Yaseen T.... - 《GeoJournal》 - 2025,90(3) - 共27页

摘要： spanning 1990 to 2022. Data* sources included hydro* | -climatic measurements from TerraClimate, Landsat 5 and 8 | Changes in climate and land use/cover (LULC | ) become serious challenges and have a major impact on | groundwater level (GWL) depletion in various regions

关键词： Groundwater level | Geoinformatics | XGBoost model | Climate change | Land use/cover changes | Kurdistan region of Iraq

6. Estimating water balance in a Brazilian semiarid watershed using different spatial data NSTL国家科技图书文献中心

Kolling Neto A. | Ribeiro R.B.... - 《Journal of South American earth sciences》 - 2024,140(Jul.) - 1.1～1.12 - 共12页 - 被引量：3

摘要： reveals that TerraClimate* data (PPTTC and ETRTC) most* | watershed, with TerraClimate* data showing superior* | , Brazil, by leveraging spatial data* to mitigate the* | actual evapotranspiration (ETR) data* from diverse* | methodologies, including IMERG, TMPA, TerraClimate* (TC), and*

关键词： Evapotranspiration | Management and planning | Precipitation | Remote sensing | Water resources

7. A Geospatial Big Data Approach for Web Mapping of Water Balance & Dry Days in Indonesia's Peatlands NSTL国家科技图书文献中心

Akram Sripandam Prih... | Bambang Kun Cahyono ... - 《2024 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology》 - IEEE International Conference on Aerospace Electronics and Remote Sensing Technology - 2024, - 1～7 - 共7页

摘要： Engine (GEE), and employing TerraClimate* data for* | . Utilizing the Geospatial Big Data* platform Google Earth* | monthly water balance and CHIRPS data* for dry day* | Peatlands in Indonesia, covering approximately | 24.67 million hectares by the end of 2015, are

关键词： Earth | Correlation coefficient | Correlation | Water storage | Normalized difference water index | Water conservation | Big Data | Rivers | Geospatial analysis | Engines

8. Sensitivity Analysis of the RothC Model Using Two Climatic Datasets: A Case Study of Arable Soils in Rostov Oblast NSTL国家科技图书文献中心

A. Yu.,Gorbacheva | Yu. L.,Meshalkina ... - 《Moscow University Soil Science Bulletin》 - 2024,79(5) - 656～663 - 共8页

摘要： the replacement of the CRU data with TerraClimate | using the RothC model. Two climate data* sets were used* | derived from interpolated data* from ground-based weather* | stations, and TerraClimate* database, which is built based* | on CRU data* and enhances the resolution to around 4*

关键词： cropland | organic carbon sequestration | sustainable land management | Climatic Research Unit | TerraClimate

9. Bias-corrected high-resolution precipitation datasets assessment over a tropical mountainous region in Colombia: A case of study in Upper Cauca River Basin NSTL国家科技图书文献中心

Romero-Hernandez C.M... | Avila-Diaz A.... - 《Journal of South American earth sciences》 - 2024,140(Jul.) - 1.1～1.17 - 共17页 - 被引量：1

摘要： TerraClimate datasets compared to data from 30 rain gauge | observations with satellite data, are an alternative to | data areas of the globe. Nevertheless, applying a | observed data* on the monthly, seasonal, and annual scale* | level-m.a.s.l.), followed by TerraClimate. Utilizing

关键词： Bias-correction | Climate variability | Gridded datasets | Performance metrics

10. Estimating surface air temperature from multiple gridded observations and reanalysis datasets over Ghana NSTL国家科技图书文献中心

Oduro, Collins | Bi, Shuoben ... - 《Advances in Space Research: The Official Journal of the Committee on Space Research(COSPAR)》 - 2024,73(1) - 537～552 - 共16页

摘要： performance in regions with sparse data* remains a subject* | Forecasts (ECMWF) Reanalysis (ERA-5), and TerraClimate | observation data* from 23 synoptic stations, spanning 40* | regions with sparse data. We conducted a spatio-temporal | , CRU, CPC, and TerraClimate* demonstrated the most con*

关键词： Climate change | Gridded Observations | In-situ observations | Near-surface air temperature | Climate data validation | Ghana | CLIMATE-CHANGE | PRECIPITATION

摘要： upscaling it over extensive areas, especially where data | such as TERRACLIMATE, NASA POWER, and DMETREF | legacy data from the available IDEAM weather stations | TERRACLIMATE (R2 = 0.75, RMSE = 311 mm) performs better than | ET data and gridded products, particularly

关键词： ENERGY-BALANCE | CAUTIONARY NOTE | HEAT-FLUX | EVAPORATION | MODEL | SOIL | DRIVEN | WATER | SEBS

摘要： utilized NDVI, NPP, and TerraClimate data to | 2022, utilized various remote sensing data sources | In response to the risks posed by urbanization | and climate change to land availability, China has | implemented several significant land cover restoration

关键词： climate change | COP27 | human activities | land revegetation projects | sustainable development | vegetation ecological quality index

摘要： disaster management. Data from ground stations, radars | , TerraClimate, and PERSIANN use different approaches to | analyse precipitation data, which is key to | evaluated (rainfall data) from these four climate models | analyses. TerraClimate, initially the lowest-performing

关键词： Amazon rainforest | flying Rivers | precipitation models | remote sensing | statistical analysis

摘要： series of precipitation and temperature data (from 1961 | monitoring of rainfall and temperature data, limiting as | of using ERA 5 reanalysis data was also explored | the temperature data is reliable, the total | Terraclimate, should have to be considered to improve the

关键词： Drought indices | Umbria region | SPEI-SPI correlation | Climate trend | ERA 5 reanalysis | CHIRPS | Climate Engine

摘要： spanning 1990 to 2022. Data sources included hydro | -climatic measurements from TerraClimate, Landsat 5 and 8 | Changes in climate and land use/cover (LULC | ) become serious challenges and have a major impact on | groundwater level (GWL) depletion in various regions

关键词： Groundwater level | Geoinformatics | XGBoost model | Climate change | Land use/cover changes | Kurdistan region of Iraq

摘要： reveals that TerraClimate data (PPTTC and ETRTC) most | watershed, with TerraClimate data showing superior | , Brazil, by leveraging spatial data to mitigate the | actual evapotranspiration (ETR) data from diverse | methodologies, including IMERG, TMPA, TerraClimate (TC), and

关键词： Evapotranspiration | Management and planning | Precipitation | Remote sensing | Water resources

摘要： Engine (GEE), and employing TerraClimate data for | . Utilizing the Geospatial Big Data platform Google Earth | monthly water balance and CHIRPS data for dry day | Peatlands in Indonesia, covering approximately | 24.67 million hectares by the end of 2015, are

关键词： Earth | Correlation coefficient | Correlation | Water storage | Normalized difference water index | Water conservation | Big Data | Rivers | Geospatial analysis | Engines

摘要： the replacement of the CRU data with TerraClimate | using the RothC model. Two climate data sets were used | derived from interpolated data from ground-based weather | stations, and TerraClimate database, which is built based | on CRU data and enhances the resolution to around 4

关键词： cropland | organic carbon sequestration | sustainable land management | Climatic Research Unit | TerraClimate

摘要： TerraClimate datasets compared to data from 30 rain gauge | observations with satellite data, are an alternative to | data areas of the globe. Nevertheless, applying a | observed data on the monthly, seasonal, and annual scale | level-m.a.s.l.), followed by TerraClimate. Utilizing

关键词： Bias-correction | Climate variability | Gridded datasets | Performance metrics

摘要： performance in regions with sparse data remains a subject | Forecasts (ECMWF) Reanalysis (ERA-5), and TerraClimate | observation data from 23 synoptic stations, spanning 40 | regions with sparse data. We conducted a spatio-temporal | , CRU, CPC, and TerraClimate demonstrated the most con

关键词： Climate change | Gridded Observations | In-situ observations | Near-surface air temperature | Climate data validation | Ghana | CLIMATE-CHANGE | PRECIPITATION

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国家科技图书文献中心

摘要： upscaling it over extensive areas, especially where data | such as TERRACLIMATE, NASA POWER, and DMETREF | legacy data* from the available IDEAM weather stations* | TERRACLIMATE (R2 = 0.75, RMSE = 311 mm) performs better than | ET data* and gridded products, particularly*

摘要： utilized NDVI, NPP, and TerraClimate* data to* | 2022, utilized various remote sensing data* sources* | In response to the risks posed by urbanization | and climate change to land availability, China has | implemented several significant land cover restoration

摘要： disaster management. Data* from ground stations, radars* | , TerraClimate, and PERSIANN use different approaches to | analyse precipitation data, which is key to | evaluated (rainfall data) from these four climate models | analyses. TerraClimate, initially the lowest-performing

摘要： series of precipitation and temperature data* (from 1961* | monitoring of rainfall and temperature data, limiting as | of using ERA 5 reanalysis data* was also explored* | the temperature data* is reliable, the total* | Terraclimate, should have to be considered to improve the

摘要： spanning 1990 to 2022. Data* sources included hydro* | -climatic measurements from TerraClimate, Landsat 5 and 8 | Changes in climate and land use/cover (LULC | ) become serious challenges and have a major impact on | groundwater level (GWL) depletion in various regions

摘要： reveals that TerraClimate* data (PPTTC and ETRTC) most* | watershed, with TerraClimate* data showing superior* | , Brazil, by leveraging spatial data* to mitigate the* | actual evapotranspiration (ETR) data* from diverse* | methodologies, including IMERG, TMPA, TerraClimate* (TC), and*

摘要： Engine (GEE), and employing TerraClimate* data for* | . Utilizing the Geospatial Big Data* platform Google Earth* | monthly water balance and CHIRPS data* for dry day* | Peatlands in Indonesia, covering approximately | 24.67 million hectares by the end of 2015, are

摘要： the replacement of the CRU data with TerraClimate | using the RothC model. Two climate data* sets were used* | derived from interpolated data* from ground-based weather* | stations, and TerraClimate* database, which is built based* | on CRU data* and enhances the resolution to around 4*

摘要： TerraClimate datasets compared to data from 30 rain gauge | observations with satellite data, are an alternative to | data areas of the globe. Nevertheless, applying a | observed data* on the monthly, seasonal, and annual scale* | level-m.a.s.l.), followed by TerraClimate. Utilizing