{'fraction_non_alphanumeric': 0.016300940438871474, 'fraction_numerical': 0.007523510971786834, 'mean_word_length': 5.879310344827586, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Rigorous radiative tarnsfer simulation for ATMS 183 GHz with atmospheric water signature from combined radar and radiometer of GPM

Spaceborne radiometers have provided critical information of atmospheric water vapor and precipitation through sounding channels around 183 GHz. Understanding the performance and characteristics of these channels is important for hardware assessment, refining radiative transfer model, and improving science product. Whereas atmospheric water profiles from ancillary operational or reanalysis data are widely used for RTM simulation of 183 GHz, they cannot well represent the real atmospheric conditions due to the intrinsic nature of water/precipitation heterogeneity and variability. In addition, these ancillary data are with limited spatial (∼100 km) and temporal (several hours) resolution. As a result, significant errors propagate into simulation. The combined radar and radiometer of GPM core observatory measure both vertical profile and total column radiance and therefore can well retrieve water profiles with fine spatial resolution and instaneous temporal resolution. We have developed a scheme using the combined retrieval product for simulating ATMS radiance. A rigorous simulation is performed with considering the field of view matchup, variation of beam size along cross-track scanning, radiometer spectral response, and antenna pattern convolution. It is shown that the simulated brightness temperature agree well with observation. The scheme can combine DPR/GMI product and different radiometers for instrument assessment and model refinement.