A5046664206- Climate variability and models
- Cryospheric studies and observations
- Meteorological Phenomena and Simulations
- Climate change and permafrost
- Tree-ring climate responses
- Soil Moisture and Remote Sensing
- Remote Sensing in Agriculture
- Hydrology and Drought Analysis
- Precipitation Measurement and Analysis
- Geophysics and Gravity Measurements
- Remote Sensing and Land Use
- Telemedicine and Telehealth Implementation
Tribhuvan University Teaching Hospital
2023
Tribhuvan University
2014-2019
In this paper, we analyzed the long-term changes in temperature and precipitation Hindu Kush Himalayan (HKH) region based on climate datasets LSAT-V1.1 CGP1.0 recently developed by China Meteorological Administration. The analysis results show that during 1901–2014 annual mean surface air over whole HKH has undergone a significant increasing trend. We determined change rates temperature, maximum minimum to be 0.104 °C per decade, 0.077 0.176 respectively. Most parts of have experienced...
This study assessed the regional climate models (RCMs) employed in Coordinated Regional Downscaling Experiment (CORDEX) South Asia framework to investigate qualitative aspects of future change seasonal mean near surface air temperature and precipitation over Hindu Kush Himalayan (HKH) region. These RCMs downscaled a subset atmosphere ocean coupled global (AOGCMs) Coupled Model Intercomparison Project phase 5 (CMIP5) higher 50 km spatial resolution large domain covering for two representation...
A regional climate modelling system, the Providing REgional Climates for Impacts Studies developed by Hadley Centre Climate Prediction and Research, has been used to study future change scenarios over Indus basin impact assessment. In this paper we have examined three Quantifying Uncertainty in Model Predictions simulations selected from 17-member perturbed physics ensemble generated using Coupled Module. The projections based on IPCC SRES A1B scenario are analysed time slices, near...
Based on a new multi-source dataset (GLDP-V1.0) recently developed in China Meteorological Administration, we employed precipitation indices including percentile-based of light (below the 50th percentile), moderate (between and 90th intense (above percentile) precipitation, maximum 1-day, 3-day, 5-day amounts (RX1DAY, RX3DAY, RX5DAY, respectively), consecutive wet dry days (CWDs CDDs) to analyze variations extreme events Hindu Kush Himalayan (HKH) during 1961–2012. The main results are...
This study uses the CMA (China Meteorological Administration) global land-surface daily air temperature dataset V1.0 (GLSATD V1.0) to analyze long-term changes in extreme events over Hindu Kush Himalaya (HKH) during 1961–2015. Results show there was a significant decrease number of cold (cold nights, days, and frost days) but increase warm (warm summer entire HKH For percentile-based indices, trends related minimum (Tmin) were greater magnitude than those maximum (Tmax). absolute-value based...
This paper analyses the climate projections over Koshi river basin obtained by applying delta method to eight CMIP5 GCMs for RCP4.5 and RCP8.5 scenarios. The were selected cover full envelope of possible future ranges from dry cold wet warm projections. coarse resolution GCM outputs statistically downscaled historical datasets. scenarios developed based on anomaly between present reference period (1961-1990) (2021-2050) generate transient change GCMs. carried out whole three physiographic...
The high-resolution climate model Providing REgional Climates for Impacts Studies (PRECIS) was used to project the changes in future extreme precipitation and temperature over Koshi River Basin use impact assessments. Three outputs of Quantifying Uncertainties Model Prediction (QUMP) simulations using Hadley Centre Couple (HadCM3) based on IPCC SRES A1B emission scenario were climate. projections analysed three time slices, 2011–2040 (near future), 2041–2070 (mid-century), 2071–2098 (distant...
The Koshi river basin sustains the livelihoods of millions people in upstream and downstream areas basin. People rely on monsoon rainfall for agricultural production, hydropower generation other livelihood activities. Climate change is expected to have serious implication its environment. To reduce adverse impacts disasters better understand climate sustainable development, initiative this regard necessary. Analysis past meteorological trends future projections can give us a sense what...