Data Assimilation Research Program

Asia/Calcutta
CAM01 (CAM)

CAM01

CAM

BNG
CAM TIFR
Description

Data assimilation (DA) is a powerful and versatile method for combining observational data of a system with its dynamical model to generate state estimates. These techniques are essential for numerical weather and climate predictions, but aplications of DA to many other scientific and engineering disciplines are emerging rapidly. DA is inherently interdisciplinary in nature and requires close collaborations and interactions between researchers in atmospheric sciences, in nonlinear dynamics and complex systems, and in applied mathematics and statistics.

Slides
  • Wednesday 12 December
    • 01:00
      Lunch
    • Basic Introduction to Probability and Simulations
      Convener: Seema Nanda
    • 08:00
      Tea
    • Prediction of the Indian Monsoon
      Convener: Dr Amit Apte
    • 1
      Random variables and sampling
      Speaker: Dr Praveen C
    • 2
      review paper on data assimilation
      Speaker: renu deshpande (CAM)