Browsing by Author "Orr, Andrew"
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Item Open Access Bias correction of high-resolution regional climate model precipitation output gives the best estimates of precipitation in Himalayan catchments(American Geophysical Union (AGU), 2019-12-14) Bannister, Daniel; Orr, Andrew; Jain, Sanjay K.; Holman, Ian P.; Momblanch, Andrea; Phillips, Tony; Adeloye, Adebayo J.; Snapir, Boris; Waine, Toby W.; Hosking, J. Scott; Allen‐Sader, ClareThe need to provide accurate estimates of precipitation over catchments in the Hindu Kush, Karakoram, and Himalaya mountain ranges for hydrological and water resource systems assessments is widely recognised, as is identifying precipitation extremes for assessing hydro‐meteorological hazards. Here, we investigate the ability of bias‐corrected Weather Research and Forecasting model output at 5 km grid spacing to reproduce the spatiotemporal variability of precipitation for the Beas and Sutlej river basins in the Himalaya, measured by 44 stations spread over the period 1980 to 2012. For the Sutlej basin, we find that the raw (uncorrected) model output generally underestimated annual, monthly, and (particularly low‐intensity) daily precipitation amounts. For the Beas basin, the model performance was better, although biases still existed. It is speculated that the cause of the dry bias over the Sutlej basin is a failure of the model to represent an early‐morning maximum in precipitation during the monsoon period, which is related to excessive precipitation falling upwind. However, applying a non‐linear bias‐correction method to the model output resulted in much better results, which were superior to precipitation estimates from reanalysis and two gridded datasets. These findings highlight the difficulty in using current gridded datasets as input for hydrological modelling in Himalayan catchments, suggesting that bias‐corrected high‐resolution regional climate model output is in fact necessary. Moreover, precipitation extremes over the Beas and Sutlej basins were considerably under‐represented in the gridded datasets, suggesting that bias‐corrected regional climate model output is also necessary for hydro‐meteorological risk assessments in Himalayan catchments.Item Open Access Knowledge priorities on climate change and water in the Upper Indus Basin: a horizon scanning exercise to identify the top 100 research questions in social and natural sciences(Wiley: American Geophysical Union (AGU), 2022-03-24) Orr, Andrew; Ahmad, Bashir; Alam, Undala; Appadurai, Arivudai Nambi; Bharucha, Zareen P.; Biemans, Hester; Bolch, Tobias; Chaulagain, Narayan P.; Dhaubanjar, Sanita; Dimri, A. P.; Dixon, Harry; Fowler, Hayley J.; Gioli, Giovanna; Halvorson, Sarah J.; Hussain, Abid; Jeelani, Ghulam; Kamal, Simi; Khalid, Imran S.; Liu, Shiyin; Lutz, Arthur; Mehra, Meeta K.; Miles, Evan; Momblanch, Andrea; et al.River systems originating from the Upper Indus Basin (UIB) are dominated by runoff from snow and glacier melt and summer monsoonal rainfall. These water resources are highly stressed as huge populations of people living in this region depend on them, including for agriculture, domestic use, and energy production. Projections suggest that the UIB region will be affected by considerable (yet poorly quantified) changes to the seasonality and composition of runoff in the future, which are likely to have considerable impacts on these supplies. Given how directly and indirectly communities and ecosystems are dependent on these resources and the growing pressure on them due to ever-increasing demands, the impacts of climate change pose considerable adaptation challenges. The strong linkages between hydroclimate, cryosphere, water resources, and human activities within the UIB suggest that a multi- and inter-disciplinary research approach integrating the social and natural/environmental sciences is critical for successful adaptation to ongoing and future hydrological and climate change. Here we use a horizon scanning technique to identify the Top 100 questions related to the most pressing knowledge gaps and research priorities in social and natural sciences on climate change and water in the UIB. These questions are on the margins of current thinking and investigation and are clustered into 14 themes, covering three overarching topics of “governance, policy, and sustainable solutions”, “socioeconomic processes and livelihoods”, and “integrated Earth System processes”. Raising awareness of these cutting-edge knowledge gaps and opportunities will hopefully encourage researchers, funding bodies, practitioners, and policy makers to address them.Item Open Access No-regret adaptation to climate change through management of glacial lakes in the Santa River Basin in Peru(EGU: European Geophysical Union, 2021-04-30) Celmi, Gladis; Momblanch, Andrea; Hess, Tim; Fyffe, Catriona L.; Potter, Emily; Orr, Andrew; Drenkhan, Fabian; Walker-Crawford, Noah; Loarte, Edwin; Gracia Bustamante, Maria; Pellicciotti, Francesca