HighNoon Delivery Reports

HighNoon Science and Policy Brief - Adaptation to Climate Change in the Ganges Basin, Northern India Science and Policy Brief with findings and recommendations for policy makers. 'Moors, E. J. and C. Siderius, 2012. Adaptation to Climate Change in the Ganges Basin, Northern India: A Science and Policy Brief. Alterra, Wageningen UR, Wageningen, the Netherlands, p48'.
HighNoon Secretary, Thursday 31 May 2012
Delivery Report on domain sizes for RCMs and topography (D1.1) This report informs partners the domain for hydrological modelling.
Andy Wiltshire, Pankaj Kumar, Stefan Hagemann and Jeff Ridley, Friday 15 January 2010
Delivery Report on RCM Simulations of the Recent Past (D1.2) Report with historical climate data.
Andy Wiltshire and Pankaj Kumar, Friday 16 July 2010
Delivery Report on climate simulations 1989-2050 (D1.3) This report relates to an ensemble of simulated regional climates for the HighNoon program. Four Regional Climate Model (RCM) simulations have been completed for the Indian Subcontinent for the SRES A1B scenario. The ensemble consists of two RCMs (HadRM3 and REMO), driven by two GCMs simulations (HadCM3Q0 and ECHAM5 realisation 3).
Andy Wiltshire, Camilla Mathison, Jeff Ridley, Pankaj Kumar, Daniela Jacob, Monday 15 November 2010
Delivery Report with analysis of climate uncertainty (D1.4) The aim of this report is to make climate model uncertainty relevant to impact modelers and social scientists. This report therefore provides relevant advice to the hydrological modelers on the available climate scenarios, as well as to inform adaptation strategy on the uncertainty in future climate and therefore the uncertainty in adaptation strategy.
Andy Wiltshire, Camilla Mathison, Jeff Ridley, Claire Witham, Carol McSweeny, Pankaj Kumar, Daniela Jacob, Friday 19 November 2010
Report on the analysis of model changes to be applied (D1.5) Report on the analysis of model changes to be applied (D1.5)
Andy Wiltshire, Monday 31 October 2011
Dataset of modified model simulations (D1.6) This report relates to the provision of an ‘updated dataset of climate projections’ to the HighNoon consortium, The updated data refers to climate simulations performed with an improved version of the Hadley RCM and the bias correction of data for the ECHAM5 and ERA-Interim climate runs. These data have been made available on the ftp site at various times up until July 2011.
Andy Wiltshire, Pankaj Kumar, Camilla Mathison, Daniela Jacob, Friday 18 November 2011
Report on the analysis of RAM performance (D1.7) Adaptation is increasingly important for regions around the world where large changes in climate could have an impact on populations and industry. The Brahmaputra - Ganges catchments have a large population, a main industry of agriculture and a growing Hydro-power industry, making the region susceptible to changes in the Indian Summer Monsoon, annually the main water source. The HighNoon project has completed four regional climate model simulations for India and the Himalaya at high resolution (25km) from 1960-2100 to provide an ensemble of simulations for the region. In this paper we have assessed the ensemble for these catchments, comparing the simulations with observations, to give credence that the simulations provide a realistic representation of atmospheric processes and therefore future climate.
C. Mathison, A Wiltshire, A P Dimri, P Falloon, D. Jacob, P Kumar, E Moors, J Ridley, C Siderius, Markus, Stoffel, T Yasunari, Wednesday 18 April 2012
Role of topography on winter precipitation over the western Himalayas (D1.8) The Himalayan region is characterized by pronounced topographic variability and landuse change from west to east with large variation in regional climate patterns. Over the western part almost one third of annual precipitation is received during winter by cyclonic storms embedded in westerlies called Western Disturbance in Indian parlance. In the present paper, the regional winter climate over the Western Himalayas is analyzed from simulations of two regional climate models forced with ERA-Interim. The model analysis is conducted through compositing of contrasting - wet and dry - interprecipitation years. It is found that regional models can well simulate the climate of the western Himalayas, and shows that the atmospheric circulation during years of extreme precipitation years closely reproduces observations. The role of the steep topography on moisture transport fluxes and vertical flows are well represented in the simulations. This suggests that downscaling by regional models embedded in global models can be applicable for assessing winter precipitation variabilities over the Himalayas.
Prof T Yasunari, A.P. Dimri, A. Wiltshire, P. Kumar, C. Mathison and J. Ridley, Wednesday 18 April 2012
Report on the current distribution of glaciers in the Hindu Kush - Himalayan Region (D1.9) The aim of this report is to resume the current state of knowledge about the Hindu Kush - Himalayan glacier distribution and to identify possible patterns of glacier change. This goal needs to be approached very carefully and precisely. Firstly, because the recent propagation of an error related to this topic (Cogley et al., 2010a) and the following public polemic lead to a certain damage of the scientific credibility. And secondly, because the quality of the investigations in terms of methodology and its documentation varies very strongly and uncertainty is generally high.
University of Geneva, Marlene Scheel with contributions from Holger Frey and Tobias Bolch, Friday 11 November 2011
An inventory of the historical changes in the glaciers since the Little Ice Age maximum observed from the analyses of the satellite imageries in the Ganga basin (D2.1) A protocol for determining the distribution of area by elevation using remote-sensing methods is presented with an example from the Ganges basin above the Tehri dam. Examples of changes in glacier area and volume between the 1960s and 2000s are shown using Corona and ASTER imagery. Climatic conditions in head water areas of the Himalaya are indicated through historical station data. Runoff measurements are also provided but headwater records are short and downstream records are truncated by the construction of dams affecting natural river flows.
Collins, D.N., Davenport, J. L. & Wilson, R., Friday 27 April 2012
Snow and Glacier originated run-off generation (D2.2 & D2.3) Work Package 2 aims to revise current run-off generation mechanisms in the Himalaya region, to enable a more differentiated considered snowmelt impact in predictions of future climate change patterns and to improve existing hydrological modelling tools and to adapt them on regional climatic conditions.
Prof. A. K. Gosain, Dr. Sandhya Rao, Ms. Puja Singh, Ms. Anamika Arora, Ms. Ankush Mahajan, Mr. V. Elangovan, Monday 30 April 2012
Report on intercomparison of the relative performance of the three modelling approaches (D2.4) Himalayan headwaters supply large quantities of runoff derived from snowmelt and monsoon rainfall to the Ganges river. Actual snowmelt contribution to discharge in the Ganges remains conjectural under both present and future climatic conditions. As snowmelt is likely to be perturbed through climatic warming, four hydrological models, VIC, JULES, LPJmL and SWAT, appropriate for coupling with regional climate models, were used to provide a baseline estimate of snowmelt contribution to flow at seasonal and annual timescales. The models constrain estimates of snowmelt contributions to between 1 and 5% of overall basin runoff. Snowmelt is however significant in spring months, a period in which other sources of runoff are scarce.
Collins, D.N., Siderius, C., Biemans, H., Rao, S., Wiltshire, A., Franssen, W.H.P., Kumar, P., Gosain, A. K., van Vliet, M.T.H., Friday 27 April 2012
Database with socio economic scenarios: population, GDP, food demand, water demand, health (D3.1) In this report the methods to create the different sets of scenarios are described, including the assumptions made and discussion of the results. Moreover a visual presentation of the scenarios are provided.
Biemans, H., S. Bhadwal, S. Nair, S. Balakrishnan, S. Ghosh, G.J. Lingaraj, S. Das, S. Bhattacharya, Wednesday 15 December 2010
Delivery Report A factsheet on regional socio economic scenarios (D3.2) Factsheet on regional socio economic scenarios: (population, GDP, food demand, water demand, health) as a basis for stakeholder process.
H. Biemans, S. Bhadwal, S. Nair, S. Balakrishnan, S. Ghosh, G.J. Lingaraj, Saptarishi Das, Shreya Bhattacharya, Prasun Gangopadhyaya, Seema Kundu, Wednesday 15 December 2010