Improving Daily Precipitation Estimates by Merging Satellite and Reanalysis Data in Northeast China DOI Creative Commons
Gaohong Yin, Yanling Zhang,

Yuxi Cao

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(24), С. 4703 - 4703

Опубликована: Дек. 17, 2024

Precipitation plays a key control in the water, energy, and carbon cycles, it is also an important driving force for land surface modeling. This study provides optimal least squares merging approach to merge precipitation data sets from multiple sources accurate daily estimate Northeast China (NEC). estimates satellite-based IMERG SM2RAIN-ASCAT, as well reanalysis MERRA-2, were used this study. The triple collocation (TC) was quantify error uncertainties each input set, which are associated with weights assigned set procedure. results revealed that better consistency other two thus more relied on during process. accuracy of both SM2RAIN-ASCAT MERRA-2 showed obvious spatio-temporal patterns due their retrieval algorithms resolution limits. merged TC-based highest correlation coefficient ground-based measurements (R = 0.52), suggesting its capability represent temporal variation precipitation. However, largely overestimated intensity summer, leading large positive bias.

Язык: Английский

Observed characteristics and projected future changes of extreme consecutive dry days events of the growing season in Serbia DOI
Atila Bezdan, Jovana Bezdan, Boško Blagojević

и другие.

International Journal of Climatology, Год журнала: 2024, Номер 44(11), С. 4127 - 4141

Опубликована: Июль 23, 2024

Abstract One of the frequently used drought metrics in scientific research is consecutive dry days (CDDs) because it effectively indicates short‐term droughts important to ecosystems and agriculture. CDDs are expected increase many parts world future. In Serbia, both frequency severity have increased recent decades, with most being caused by a lack precipitation during warmer months year an evapotranspiration due higher temperatures. this study, duration extreme growing season Serbia were analysed for past (1950–2019) future (2020–2100) period. The Threshold Level Method over data series was analyse CDD events, where defined as at least 15 without precipitation. contrast original definition maximum number less than 1 mm, here we threshold that more suitable agriculture field crops can experience water stress after no rainfall or irrigation. An approach modelling stochastic process based on Zelenhasić–Todorović (ZT) method applied research. ZT modified selecting different distribution function durations longest enabling reliable calculation probabilities occurrences. According results, likely be frequent severe those past. will extended future, lasting up 62 10‐year return period 94 100‐year Results indicate worsening conditions, especially eastern northern Serbia. results help decision‐makers adapt agricultural strategies climate change providing information rainless periods seasons. Although analysis performed any other region.

Язык: Английский

Процитировано

3
Geostatistical Predictive Model of Drought Severity: A Case Study of Southern Portugal DOI Creative Commons
Miguel Bastos Gomes, Ana Paula Ribeiro de Castro, Rita Durão

и другие.

Mathematical Geosciences, Год журнала: 2025, Номер unknown

Опубликована: Апрель 4, 2025

Язык: Английский

Процитировано

0
Detection of Typical Forest Degradation Patterns: Characteristics and Drivers of Forest Degradation in Northeast China DOI Creative Commons

Yue Hai,

Mei Liang,

Yuze Yang

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(8), С. 1389 - 1389

Опубликована: Апрель 14, 2024

The accurate identification of forest degradation and its driving factors is a prerequisite for implementing high-quality management. However, distinguishing patterns often neglected in large-scale quality assessments. indicators were constructed to identify typical using remote sensing indexes, followed by an analysis the spatiotemporal dynamics quantification contributions from various factors. results indicated that could effectively distinguish patterns, with fire accuracy 90.0% fitting drought pest higher than 0.7. cold temperate conifer zone had largest proportion degradation, accounting 67.7% area, totals 99.0% subtropical evergreen broadleaf 92.8% mixed moderately severely affected drought, long-term stability. Additionally, 0.1% grassland region underwent severe infestations, stable trend. Meteorological primary contributors all 81.35%, 58.70%, 82.29%, respectively. research developed index assessing explained importance natural anthropogenic degradation. are beneficial scientific management improving efficiency.

Язык: Английский

Процитировано

1
Improving Daily Precipitation Estimates by Merging Satellite and Reanalysis Data in Northeast China DOI Creative Commons
Gaohong Yin, Yanling Zhang,

Yuxi Cao

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(24), С. 4703 - 4703

Опубликована: Дек. 17, 2024

Precipitation plays a key control in the water, energy, and carbon cycles, it is also an important driving force for land surface modeling. This study provides optimal least squares merging approach to merge precipitation data sets from multiple sources accurate daily estimate Northeast China (NEC). estimates satellite-based IMERG SM2RAIN-ASCAT, as well reanalysis MERRA-2, were used this study. The triple collocation (TC) was quantify error uncertainties each input set, which are associated with weights assigned set procedure. results revealed that better consistency other two thus more relied on during process. accuracy of both SM2RAIN-ASCAT MERRA-2 showed obvious spatio-temporal patterns due their retrieval algorithms resolution limits. merged TC-based highest correlation coefficient ground-based measurements (R = 0.52), suggesting its capability represent temporal variation precipitation. However, largely overestimated intensity summer, leading large positive bias.

Язык: Английский

Процитировано

0