Kenji Matsuura
Biographic Data
| ID | 5232365 |
|---|---|
| NAME | Kenji Matsuura |
| GIVEN NAMES | Kenji |
| FAMILY NAME | Matsuura |
| SIGNATURE | MATSUURA K |
| AFFILIATIONS | University of Delaware |
| ORCID | 0000-0002-9099-6694 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2010 |
| H-INDEX | 1 |
Changes in Annual Land-Surface Precipitation Over the Twentieth and Early Twenty-First Century
Time trends in annual land-surface precipitation during the twentieth and early twenty-first centuries and their spatial patterns are estimated from gridded (at a 0.5° × 0.5° spatial resolution) rain-gauge-based precipitation data sets available from the Climatic Research Unit (CRU), the Global Precipitation Climatology Centre (GPCC), and at the University of Delaware (UDel). Our analyses of these precipitation data sets make use of spatially wei…
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 30:79-82 (2005) - doi:10.3354/cr030079 Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance Cort J. Willmott*, Kenji Matsuura Center for Climatic Research, Department of Geography, University of Delaware. Newar…
Changes in Annual Land-Surface Precipitation Over the Twentieth and Early Twenty-First Century
Time trends in annual land-surface precipitation during the twentieth and early twenty-first centuries and their spatial patterns are estimated from gridded (at a 0.5° × 0.5° spatial resolution) rain-gauge-based precipitation data sets available from the Climatic Research Unit (CRU), the Global Precipitation Climatology Centre (GPCC), and at the University of Delaware (UDel). Our analyses of these precipitation data sets make use of spatially wei…
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials CR 30:79-82 (2005) - doi:10.3354/cr030079 Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance Cort J. Willmott*, Kenji Matsuura Center for Climatic Research, Department of Geography, University of Delaware. Newar…
Changes in Annual Land-Surface Precipitation Over the Twentieth and Early Twenty-First Century
Time trends in annual land-surface precipitation during the twentieth and early twenty-first centuries and their spatial patterns are estimated from gridded (at a 0.5° × 0.5° spatial resolution) rain-gauge-based precipitation data sets available from the Climatic Research Unit (CRU), the Global Precipitation Climatology Centre (GPCC), and at the University of Delaware (UDel). Our analyses of these precipitation data sets make use of spatially wei…
Climate variability and models (2 works) · Climatology (1 work) · Cru (1 work) · Cryospheric studies and observations (1 work) · Environmental Science (1 work) · Geography (1 work) · Geology (1 work) · Geology (1 work) · Hydrology and Drought Analysis (1 work) · Hydrology and Watershed Management Studies (1 work)