CAHMDA/DAFOH

Colorado River in Texas. Wikimedia Commons.

NSF highlights data assimilation research in CIESS

Prof. Yang and his graduate student Yong-Fei Zhang have been using DART (Data Assimilation Research Testbed) to improve the representation of snow in the land component of the Community Earth Systems Model (CESM). This work is recently highlighted in a NSF article (“Confronting models with observations“).

Poster Award Winners

We are pleased to announce the following recipients of the best posters during the September 8-12, 2014 conference proceedings. Posters were judged by an international panel of scientists and researchers.

1. Hamideh Riazi, UT Arlington, $200.00

2. Yongfei Zhang, UT Austin, $150.00

3. Shuai Zhang, Texas A&M University, $100.00

New postdoc opportunity in Bristol, UK

Research Assistant or Research Associate in Land Surface Modeling and Soil Moisture Scaling

Summary: A postdoctoral position is available to evaluate the performance of the Joint UK Land Environment Simulator (JULES) in reproducing soil moisture dynamics and key land-atmosphere interactions in the UK at hyper-spatial resolution in combination with novel cosmic-ray soil moisture technology and remote sensing products. A PhD in meteorology/hydrology or related disciplines (e.g. environmental science) with an interest in land-atmosphere interactions, numerical modeling, remote sensing, and data assimilation is essential. This 30-month appointment (with potential extension to 36 months) is part of the NERC-funded project AMUSED (A MUlti-scale Soil moisture-Evapotranspiration Dynamics study) whose ultimate goal is to identify the spatiotemporal scale-dependency of key dominant processes that control changes in soil moisture and land-atmosphere interactions. AMUSED will employ new innovative technology for soil moisture monitoring using cosmic-rays sensors in combination with land surface modeling, satellite remote sensing, and data assimilation methods. Some fieldwork will take place, especially at the initial stages of the project to deploy and install/calibrate cosmic-ray soil moisture sensors. For more information about AMUSED, please visit http://www.bris.ac.uk/cabot/news/2014/502.html.

Required skills include experience using land surface models (e.g., JULES, CLM, Noah, VIC) to predict soil-vegetation-atmosphere interactions, some programming knowledge (e.g., Fortran or C) and experience with Linux operating system, demonstrated ability to publish peer-reviewed papers, effective written and oral communication skills, willingness to work in a team, in an academic research environment, and development collaborative links.

Desired skills include knowledge of hydrometeorology, land-atmosphere interactions, data assimilation and/or remote sensing, and some previous experience with fieldwork activities.

For informal inquiries, please contact Dr Rafael Rosolem (rafael.rosolem@bristol.ac.uk)

To apply, please visit http://bit.ly/1wor2CP or http://www.jobs.ac.uk/job/AJP006/research-assistant-or-research-associate-in-land-surface-modelling-and-soil-moisture-scaling/

Local Transportation

Registration Open

Online registration and payment for the workshop events are open. Please click here to proceed.

(https://www.jsg.utexas.edu/ciess/cahmda-vi-hepex-dafoh-iii/registration/)

Abstract Submission Deadline Extended

Deadline for abstract submission to the Joint workshop on CAHMDA-VI and HEPEX-DAFOH III has been extended to July 31, 2014. Please click here to submit online.

(https://www.jsg.utexas.edu/ciess/cahmda-vi-hepex-dafoh-iii/abstract-submission/)

For invitation letter, please visit Venue and Travel.

Aim & Scope

The 6^th International Workshop on Catchment Hydrological Modeling and Data Assimilation (CAHMDA-VI) will be held jointly with the 3^rd International Workshop on Data Assimilation for Operational Hydrology and Water Management of the Hydrologic Ensemble Prediction Experiment (HEPEX-DAFOH III) in Austin, Texas, USA, September 8-12, 2014. As a continuation of the past successful workshops of CAHMDA and HEPEX-DAFOH, the Austin workshop focuses on assessing recent advances in modeling, observations, and data assimilation approaches with a goal to understand, observe and predict hydrological processes and to build synergism with operational hydrology. Particular attention will be given to extreme events, such as droughts and floods, as well as the development and application of data assimilation approaches to improving operational hydrological forecasting and water resources management.

For the CAHMDA related sessions (1 – 5), main forms will be invited key notes, short poster presentations and extensive discussions. For the DAFOH related sessions (6, 7, and 8), both oral and poster presentations will be accepted. In addition to the workshop, a two-day pre-workshop data assimilation training course and one-day post-workshop excursions will be organized.

Important Dates