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Messages - Sonali

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Announcements / Opening for Ad-hoc Faculty in NIT Warangal
« on: December 04, 2017, 04:09:15 PM »
Vacancies are for Civil Department also.
Please find more details in the attachment.
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FREEWAT is an HORIZON 2020 project financed by the EU Commission under the call WATER INNOVATION: BOOSTING ITS VALUE FOR EUROPE.
FREEWAT main result is an open source and public domain GIS integrated modelling environment (the FREEWAT platform) for the simulation of water quantity and quality in surface water and groundwater with an integrated water management and planning module.
If you are interested in water management and in simulation tools (and you are especially dealing with groundwater management) please visit the Software and Training page of this web site.
FREEWAT is conceived as a composite plugin for the well-known QGIS ( open source desktop software.

As composite plugin, FREEWAT is designed as a modular ensemble of different tools: some of them can be used independently, while some modules require the preliminary execution of other tools. In this framework, the following tool classifications can be defined:

Tools for the analysis, interpretation and visualization of hydrogeological and hydrochemical data and quality issues, also focusing on advanced time series analysis, embedded in akvaGIS module.

Simulation of models related to the hydrological cycle and water resources management:  flow models, transport models, crop growth models, management and optimization models (also related to irrigation management and rural issues).

Tools to perform model calibration, sensitivity analysis and uncertainty quantifications.

Additional tools for general GIS operations to prepare input data, and post-processing functionalities (module OAT – Observation and Analysis Tool).
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Post your question/information / Never miss a scientific paper again!
« on: September 21, 2017, 03:25:37 PM »
It saved a lot of my time.
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Programming / EcoHydRology: A R Package
« on: September 08, 2017, 05:59:57 PM »
This package provides a flexible foundation for scientists, engineers, and policy makers to base teaching exercises as well as for more applied use to model complex eco-hydrological interactions.
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Study material / Online Free Courses on Remote Sensing
« on: September 06, 2017, 07:41:10 PM »
Online free courses on remote sensing:
1/ Earth observation from space (by ESA-course just started):…/optical-earth-observation/
2/Monitoring the Oceans from Space (by EUMETSAT-starts on October, 16th):
3/Monitoring Climate from Space (by ESA-date TBA):
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Announcements / INDIA-UK Exchange
« on: September 06, 2017, 09:32:25 AM »
The India-UK Water Centre is inviting proposals from members of its Open Network of Water Scientists to apply for funding under one of two researcher exchange schemes. Funding is available to support at least two researcher exchanges to be undertaken during the period 01 January 2018 - 30 June 2018: at least one exchange by an Indian water scientist to the UK and at least one exchange by a UK water scientist to India.
1st September 2017: call opens
22nd September 2017: deadline for submission of application webform
10th October 2017: applicants notified of outcome
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Data / Relevant Datasets and their sources
« on: August 16, 2017, 05:42:38 PM »
Please find the attached document for datasets and their online links.

To read the "State of the Climate 2016" by American Meteorological Society, follow the link:

Thank you,
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Announcements / 2017 AGU Fall Meeting
« on: July 02, 2017, 09:53:29 AM »
Early Abstract Submissions Deadline: July 26, 2017
Abstract Submissions Deadline: August 2, 2017
2017 Fall Meeting Begins: December 11, 2017
Some Important Sessions:
General Surface Hydrology:
Emerging Technologies for Hydrologic Remote Sensing:
Applications of machine learning in hydrology:
Drones in Hydrology: How are Unmanned Aerial Vehicles Advancing our Understanding of Earth’s Critical Zone?:
Hydroclimatic Extremes: Drought:
Remote Sensing and Modeling of the Terrestrial Water Cycle:
Advances in hyperspectral infrared remote sensing in cloudy atmospheres:
Remote Sensing Applications for Water Resources Management, Including Droughts, Floods and Associated Water Cycle Extremes:
Evapotranspiration: Advances in In Situ Measurements and Remote Sensing Based Modeling Approaches:

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If you are dealing with huge datasets that are saved in .mat format, loading them to workspace eats lot of RAM. So, matlab has an option to read part of such files without loading them to memory. Have a look at this link:
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Announcements / Post-doctoral Researcher: UPSCAPE
« on: February 01, 2017, 04:21:00 PM »
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Programming / HYDROMAD: Hydrological Model Assessment and Development
« on: January 30, 2017, 04:43:57 PM »
hydromad is an R package (i.e. a software package for the R statistical computing environment). It provides a modelling framework for environmental hydrology: water balance accounting and flow routing in spatially aggregated catchments. It supports simulation, estimation, assessment and visualisation of flow response to time series of rainfall and other drivers.
[/size]A minimal unit hydrograph framework is used, where areal rainfall is passed through a soil moisture accounting (SMA) model to estimate effective rainfall; this is then passed through a routing model to estimate streamflow. Included are several implementations of models consistent with this framework, notably the IHACRES CWI and CMD soil moisture accounting models, and unit hydrograph transfer functions for the routing.
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Programming / Colormaps in MATLAB
« on: January 28, 2017, 11:36:51 PM »
Toolbox below provides users to view images in MATLAB with wider range of colorbars.
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The differential warming of land and ocean leads to many continental regions in the Northern Hemisphere warming at rates higher than the global mean temperature. Adaptation and conservation efforts will, therefore, benefit from understanding regional consequences of limiting the global mean temperature increase to well below 2°C above pre-industrial levels, a limit agreed upon at the United Nations Climate Summit in Paris in December 2015. Here, we analyze climate model simulations from the Coupled Model Intercomparison Project Phase 5 (CMIP5) to determine the timing and magnitude of regional temperature and precipitation changes across the contiguous United States (US) for global warming of 1.5 and 2°C and highlight consensus and uncertainties in model projections and their implications for making decisions. The regional warming rates differ considerably across the contiguous US, but all regions are projected to reach 2°C about 10-20 years before the global mean temperature. Although there is uncertainty in the timing of exactly when the 1.5 and 2°C thresholds will be crossed regionally, over 80% of the models project at least 2°C warming by 2050 for all regions for the high emissions scenario. This threshold-based approach also highlights regional variations in the rate of warming across the US. The fastest warming region in the contiguous US is the Northeast, which is projected to warm by 3°C when global warming reaches 2°C. The signal-to-noise ratio calculations indicate that the regional warming estimates remain outside the envelope of uncertainty throughout the twenty-first century, making them potentially useful to planners. The regional precipitation projections for global warming of 1.5°C and 2°C are uncertain, but the eastern US is projected to experience wetter winters and the Great Plains and the Northwest US are projected to experience drier summers in the future. The impact of different scenarios on regional precipitation projections is negligible throughout the twenty-first century compared to uncertainties associated with internal variability and model diversity.
[/size]paper link:
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First year of data from SMAP satellite provides new insights for weather, agriculture, and climate.
[/size]Surface soil moisture has a direct impact on food security, human health and ecosystem function. It also plays a key role in the climate system, and the development and persistence of extreme weather events such as droughts, floods and heatwaves. However, sparse and uneven observations have made it dicult to quantify the global distribution and dynamics of surface soil moisture. Here we introduce a metric of soil moisture memory and use a full year of global observations from NASA’s Soil Moisture Active Passive mission to show that surface soil moisture—a storage believed to make up less than 0.001% of the global freshwater budget by volume, and equivalent to an, on average, 8-mm thin layer of water covering all land surfaces—plays a significant role in the water cycle. Specifically, we find that surface soil moisture retains a median 14% of precipitation falling on land after three days. Furthermore, the retained fraction of the surface soil moisture storage after three days is highest over arid regions, and in regions where drainage to groundwater storage is lowest. We conclude that lower groundwater storage in these regions is due not only to lower precipitation, but also to the complex partitioning of the water cycle by the surface soil moisture storage layer at the land surface.
[/size]link to the paper:
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