In order to assess CYGNSS data before the satellites are launched, members of the CYGNSS Science Team created the End-to-End-Simulator (e2es). This simulator duplicates satellite path patterns as well as various configurations each satellite can be placed. The DYNAMO data is assimilated using the 3DVAR methodology within the Weather Research and Forecasting model (WRF) and comes from radars, scatterometers, buoys and soundings across the domain. Radars used include the NASA TOGA Doppler radar which was aboard the R/V R. Revelle and the S-PolKa radar located on the Addu Atoll, Maldives. Scatterometer data was supplied by the Advanced Scatterometer (ASCAT) and Oceansat-2 Scatterometer (OSCAT). After all the data are assimilated in WRF, the wind speed products are placed into the e2es to produce CYGNSS-like data and graphics. The e2es can adjust passage patterns, satellite configurations, and includes various other adjustable settings.
Within the December case, the focus was narrowed down to the 20th through 22nd because this was the time frame with the most amount of precipitation over the desired domains, and hence a key time period of MJO development and definition. These nested domains used in the WRF modeling and data assimilation experiments are at 9 km, 3 km, and 1 km resolutions, where the 9 km is the closest to the CYGNSS domain.
It will be important to know what mesoscale and convective processes look like from the point of view of CYGNSS. Having better data and understanding of MJO onsets will lead to improved MJO forecasting that is crucial for all populations surrounding the Indian and West Pacific Oceans. During the presentation, our progress to date will be described and discussed, while we will also emphasize our key findings related to the December 2011 MJO as related to the assimilated observations and CYGNSS dataset.