The statistical retrieval of atmospheric parameters will be greatly affected by the accuracy simulated brightness temperatures (BTs) derived from radiative transfer model. However, it is challenging to further improve a physical-based model (RTM) developed based on physical mechanisms wave transmission through atmosphere. We develop deep neural network-based RTM (DNN-based RTM) calculate BTs for Microwave Temperature Sounder-II onboard Fengyun-3D satellite under different weather conditions....

A new payload concept has been proposed: the microwave imager combined active/passive (MICAP). MICAP is a one-dimensional interferometric radiometer that operates at 1.4, 6.9, 18.7, and 23.8 GHz L-band (1.26 GHz) scatterometer. It capability to simultaneously remotely sense sea surface salinity (SSS), temperature (SST), wind speed. will be candidate onboard Ocean Salinity Satellite led by State Oceanic Administration of China monitor SSS reduce geophysical errors caused roughness SST. To...

A 1-D interferometric system at 1.4GHz, 6.9GHz, 18.7 GHz and 23.8GHz combined with a scatterometer 1.26GHz, called microwave imager active/passive (MICAP), has been proposed to retrieve sea surface salinity (SSS) reduce geophysical errors due roughness temperature (SST). The MICAP will be candidate payload onboard the Ocean Salinity Satellite of China. sensitivity observations SSS, SST wind is analyzed stability requirement instruments estimated, objective designing an optimized satellite...

This paper presents a rain rate retrieval algorithm for tropical cyclones (TCs) using passive microwave Fengyun-3B (FY-3B) MWRI brightness temperature (TB). Channel 18.7 and 36.5GHz of FY-3B/MWRI are used to implement algorithm. Two databases constructed: one is 15,153 matchups TB NSIDC global swath ocean products retrieving another databset 5,093 retrieved rates error estimation the retrievals. The show good agreement with surface in structures. Although there slightly overestimated at...

Aquarius is a satellite mission to measure sea surface salinity (SSS) from space using combined passive/active L-band instrument. It has mapped SSS nearly 4 years since its launch in 2011. In this paper, four Machine Learning Algorithms applied without considering the physical effects of forward model are proposed retrieve measurements and associated auxiliary data. The results compared with multisource data, including HYCOM SSS, Remote Sensing Systems (RSS) products, Combined Active-Passive...

The development of wireless communication technology is reshaping the landscape intelligent transportation systems, particularly in realm internet vehicles (IoV). Among these, integrated sensing and communications (ISAC) has garnered widespread attention by leveraging shared hardware resources or even spectrum between to achieve benefits. For IoV, parameters such as target position speed estimated ISAC can be used prior information for resource allocation beamforming improve performance. In...

The derivation of ice water path (IWP) from microwave radiometer measurements is challenging. This study presents a deep learning framework for global retrieval IWP using observations the Microwave Humidity Sounder-II (MWHS-II) aboard FengYun-3D (FY-3D) satellites. Two models, Deep Forest (DF21) and Quantile Regression Neural Network (QRNN) are constructed to detect cloud flags retrieve IWP. By collocating MWHS-II with 2C-ICE, joint product CloudSat CALIPSO, models learn characteristics...

Using the FY-3G/MWRI-RM observations, this paper proposes a precipitation retrieval method that combines Synthetic Minority Over-sampling Technique with Light Gradient Boosting Machine (SMOTE-LGBM) and analyzes impact of MWRI-RM channel settings on retrieval. The SMOTE-LGBM-based model consists two LGBM models for identification estimation, respectively. SMOTE is used to address imbalance between non-precipitation samples. Integrated Multi-Satellite Retrievals Global Precipitation...

The Microwave Imager Combined Active/Passive (MICAP) has been designed to simultaneously retrieve sea surface salinity (SSS), temperature (SST) and wind speed (WS), its performance also preliminarily analyzed. To determine the influence of first guess values uncertainties on retrieved parameters MICAP, retrieval accuracies SSS, SST, WS are estimated at various noise levels. results suggest that errors SSS have not increased dues poorly known initial SST WS, since MICAP can acquire...

Abstract. The ice water path (IWP) is an important cloud parameter in atmospheric radiation, and there are still great difficulties its retrieval. Artificial neural networks have become a popular method remote sensing recent years. This study presents global IWP retrieval based on deep using the measurements from Microwave Humidity Sounder (MWHS) aboard FengYun-3B (FY-3B) satellite. Since FY-3B/MWHS has quasi-polarization channels at 150 GHz, effect of polarimetric radiance difference (PD)...

The special geographical location of the polar regions increases difficulty modeling surface emissivity, thus physical retrieval algorithms temperature and humidity profiles for microwave radiometers mainly focus on between 60°S 60°N. In this paper, deep neural networks (DNN) long short-term memory (LSTM) models are first implemented to retrieve atmospheric in real time from FY-3D/MWHTS Arctic compared with algorithm. hyperparameters machine learning determined using grid search 10-fold...

A rainfall retrieval algorithm for tropical cyclones based on dual-polarized brightness temperature (Tb) from the Fengyun 3C (FY-3C) Microwave Radiation Imager (MWRI) radiometer is presented. Since nonlinear relationship between rain rate and Tb, "beamfilling effect" corrected to make liquid water absorption closer Mie absorption. The unique rate. To evaluate performance of MWRI retrievals, hurricane Jose chosen as case study, Global Precipitation Measurement (GPM) Dual-frequency Radar (DPR)...

Abstract. Ice water path (IWP) is an important cloud parameter in atmospheric radiation, and there are still great difficulties retrieval. The artificial neural network a popular method remote sensing recent years. This study presents global IWP retrieval based on deep networks using the measurements from Microwave Humidity Sounder (MWHS) onboard FengYun-3B (FY-3B) satellite. Since FY-3B/MWHS has quasi-polarization channels at 150 GHz, effect of polarimetric radiance difference (PD) also...

In this paper, the sea surface wind speed (SSWS) retrieval accuracy for HaiYang-2C (HY-2C) scatterometer in coastal regions is evaluated. To improve SSWS accuracy, we use European Centre Medium-range Weather Forecast Reanalysis 5th Generation (ECMWF ERA5) data as reference output to establish multi-interval model based on light gradient boosting (LGBM). Compared with ERA5 speed, root mean square error (RMSE) of LGBM-based low, medium, and high ranges 36.36%, 33.33%, 34.52% lower than that...

Sea surface salinity (SSS) plays an essential role in the study of global climate change. Especially, high accuracy coastal SSS is great significance for marine aquaculture and other aspects. SMAP a resolution satellite equipped with radars radiometers measuring soil moisture, which can also achieve observations SSS. Based on L2B V5.0 data, to improve retrieval accuracy, this paper proposes method retrieving regions using deep neural networks (DNN) analyzes impact different variables By...

The Microwave Imager Combined Active/Passive (MICAP) is a suit of active/passive instrument package, which has been proposed for demonstrating the capability remote sensing sea surface salinity (SSS), temperature (SST) and wind speed (WS). In this paper, nonlinear optimization algorithm simultaneous retrieval above parameters described. sensitivity microwave observations to SSS analyzed using algorithm. results show that root mean square (RMS) error on retrieved estimated by enough meet...

Abstract The selection of clear sky data in space-borne remote sensing is very important for its application. For FY-3D satellite microwave humidity and temperature sounder (MWHTS), an inversion system atmospheric cloud water content by MWHTS established based on neural network. value used to select from observation data. experimental results show that FY-3D/MWHTS method network can effectively data, thus improving the simulation brightness temperatures accuracy radiative transfer model....

To analyze the characteristic distribution of MWRI rainfall algorithm, six record observations typhoon Mufia are selected as case study for this study. Six track records and AMSR-E GPROF2010 products matched to make analysis comparisons. Averaged radial from consistent in records. The results indicate that retrievals coincident with rain rates temporal spatial evaluation. radiometer can observe entire process formation, maturity extinction typhoons.