Automated Author ProfileLal, Preet
Lal, Preet
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.2 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The present study highlights the long-term variations in temperature and precipitation using time series datasets of CRU and ERA5-Land across the Himalayan region. The Mann-Kendall and Sen’s slope-based trend analysis exhibited an apparent warming trend in the region, with higher increase in Tmin (1.5 °C) and comparatively lower increase in Tmax (0.8 °C) during 1901–2018. The joint CCl/WCRP/JCOMM based 19 extreme indices elucidated an increasing frequency of warm days (16%) in Central Himalayan urban agglomerations (HUAs) with a declining number of cold days (−6%) and cold nights (−4%) during 2000–2019. The moderate decline in the wet days (8%) and consecutive wet days (−5 days/20 years) observed in all HUAs compared to an increasing frequency of the consecutive dry days (3 days/20 years). Study reported higher warming in Kathmandu UA, while increased precipitation in Srinagar UA, and contributes to framing climate change adaptation and mitigation strategies in the mountainous system.
Authors
- Diksha ;
- Kumar, Amit ;
- Lal, Preet
The present study highlights the long-term variations in temperature and precipitation using time series datasets of CRU and ERA5-Land across the Himalayan region. The Mann-Kendall and Sen’s slope-based trend analysis exhibited an apparent warming trend in the region, with higher increase in Tmin (1.5 °C) and comparatively lower increase in Tmax (0.8 °C) during 1901–2018. The joint CCl/WCRP/JCOMM based 19 extreme indices elucidated an increasing frequency of warm days (16%) in Central Himalayan urban agglomerations (HUAs) with a declining number of cold days (−6%) and cold nights (−4%) during 2000–2019. The moderate decline in the wet days (8%) and consecutive wet days (−5 days/20 years) observed in all HUAs compared to an increasing frequency of the consecutive dry days (3 days/20 years). Study reported higher warming in Kathmandu UA, while increased precipitation in Srinagar UA, and contributes to framing climate change adaptation and mitigation strategies in the mountainous system.
Authors
- Diksha ;
- Kumar, Amit ;
- Lal, Preet
No description available
Authors
- Lal, Preet ;
- Cerofolini, Linda ;
- D'Agostino, Vito Giuseppe ;
- Zucal, Chiara ;
- Fuccio, Carmelo ;
- Bonomo, Isabelle ;
- Luchinat, Claudio ;
- Di Maio, Danilo ;
- Novellino, Ettore ;
- Biasini, Emiliano ;
- Elezgarai, Saioa ;
- Manzoni, Leonardo ;
- Seneci, Pierfausto ;
- Marinelli, Luciana ;
- Fragai, Marco ;
- Provenzani, Alessandro