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Ovarian malignancy the third most common gynecological malignancy and is the leading cause of death in women. Non-specific clinical presentation delays the diagnosis, and they often present in the advanced stage of disease. No imaging modality is recommended for screening as there is no significant mortality reduction. Ultrasound (USG) is usually the initial modality in suspected ovarian mass. MRI is recommended for the characterization of indeterminate ovarian or adnexal mass on USG. CT abdomen and pelvis with oral and IV contrast is the recommended imaging modality in staging the disease, predicting the resectability and in selecting the patients who would benefit from neoadjuvant chemotherapy. Early ovarian cancers are staged by post-surgical histology and undergo upfront surgery. Advanced disease benefit by neoadjuvant chemotherapy and less morbidity by interval cytoreduction where image-guided biopsy is performed for histological diagnosis. Follow-up recommendations are based on tumor histology. CT/PET CT is recommended for diagnosing recurrence.

With the availability of satellite-based precipitation products, it is pertinent to develop methods to use these data products to design hydraulic structures. The satellite precipitation products play a vital role in ungauged locations or when information is required on a catchment scale. Before such applications, the accuracy and uncertainty associated with the products have to be investigated. In this study, we develop a framework that includes bias correction for the development of robust IDF curves. The framework is applied to a small region in the southeastern part of India, and the IDF curves were evaluated using the gauge data at nine locations. This study compares Intensity Duration Frequency (IDF) curves using the recent precipitation product Global Precipitation Measurement (GPM-IMERG V6) with ground-based gauge data. Results show that the spatial correlation between the satellite IDF and the gauge-based IDF improves significantly after bias correction, and the value is as high as 0.75 for 2–10 year return period. The bias between the satellite IDF and gauge IDF is low in the north part of the study region and is high in the southeastern part, prone to extreme rainfall. Further, a significant percentage of the satellite-based IDFs (with and without bias correction) lie inside the confidence interval of the gauge-based data. Thus, GPM V6 data have the potential to be used as an alternate data source for IDF generation in developing countries.