Different satellite rainfall products are nowadays available with different spatial-temporal resolution and accuracy. What is the best product? How the get the data? Is satellite rainfall data freely available?
The PMW rain rates of TRMM, NOAA-18/19 and MetOp-A may be more accurate. In tropical area, TRMM
PR and PMW rain rate are more accurate. And you can get trmm historical data from ftp://trmmopen.gsfc.nasa.gov/pub/ and others from http://www.nsof.class.noaa.gov/. They are all free and easy to get!
I well know the papers by Crow et al. and I would like to use the satellite rainfall data for a similar topic but using a different procedure (see https://www.researchgate.net/publication/234127582_A_new_method_for_rainfall_estimation_through_soil_moisture_observations?ev=prf_pub)
Article A new method for rainfall estimation through soil moisture o...
I've worked with satellite-rainfall over northeastern Italy. Specifically, I've used TRMM 3B42, CMORPH and PERSIANN products (which are widely used in satellite-rainfall studies). They are all quasi-global and come at differrent spatio-temporal resolutions. That said, means that the choice of your product is strongly related to the resolution required for the scale of application. My experience based on our findings is that you cannot clearly point to the "best satellite product" (satellite-rainfall over complex terrain is still a big issue.....). For example, 3B42 is associated with smaller bias (relative to CMORPH and PERSIANN) but PERSIANN has given me higher correlation (note that reference has been gauge-adjusted radar estimates).
We are currently working on a long-term comparison of different products over Alto Adige, so we can exchange more info if you like.
Actually, I have several hydrological applications in mind. For some of them, daily or 5-day cumulated rainfall data is enough, for others I would need sub-daily observations (as from TRMM).
I will work on that to see which satellite rainfall dataset might be more suitable.
BTW, at EGU 2013 I presented a poster (also available via RG) with a first application with TRMM data:
You are totally right, at saturation we can't say nothing more about rainfall. Indeed, the underestimation during high soil moisture conditions is clearly visible from the timeseries figures in the poster.
We could use also runoff data in these conditions... it is work in progress (actually, just started) :-)
I did a research on various products (TRMM3B42 and cmorph) in the amazonian basins in comparison to insitu data. It´s hard to judge the accuracy of the insitu data but it gives you an idea. I have a code in the appendix (matlab) for a way how to process the data, so if you are still interested let me know :)
Here the paper where we developed the global scale rainfall datasets from soil moisture data: https://www.researchgate.net/publication/261596843_Soil_as_a_natural_raingauge_estimating_global_rainfall_from_satellite_soil_moisture_data?ev=prf_pub
... and the datasets can be freely downloaded here: http://hydrology.irpi.cnr.it/repository/public/files/sm2rain-global-rainfall-datasets/view
Article Soil as a natural rain gauge: Estimating global rainfall fro...
Some studies shows CMORPH shows better agreement and some prefer TRMM. I personally think TRMM shows better agreement with observed data, particularly for extreme precipitation events. Note: I have made comparison over complex topography.
It depends on the scale and rainfall variability of the study area. Normally SREs with high spatio-temporal that combine TIR and PMW sensors could better represent rainfall variability particularly at fine temporal resolution (eg. Daily). However, even satellite rainfall with relatively high spatio-temporal resolution are less effective to capture rainfall variability at daily time scale. Hence, satellite rainfall products have to be validated at specific study area as their performance may depend on influencing factors of that region; moreover, a bias correction should be applied before their application to any hydrological studies.
You can try to look into the Tropical Rainfall Measurement Mission (TRMM) which is a high temporal and spatial resolution satellite rainfall product with 3 hr resolution up to daily. The Tropical Rainfall Measuring Mission (TRMM), is the first mission dedicated to measuring tropical and subtropical rainfall through microwave and visible infrared sensors, and includes the first spaceborne rain radar. Tropical rainfall comprises more than two-thirds of global rainfall.
In rainfall analysis research, determining the most suitable satellite rainfall products for a particular area/region depends on the validation process being carried out with the available in-situ data.
Many researchers prefer the TRMM data , because it is sourced from the satellite and had also cross-validated with some gauge stations.