Comparative Evaluation of the Performances of TRMM-3B42 and CMORPH Precipitation Estimates over Thailand

Abstract The aim of this paper is to evaluate the accuracy of the precipitation data gathered from satellites including PERSIANN, TRMM-3B42V7, TRMM-3B42RTV7, and CMORPH, over Gorganrood basin, Iran. The data collected from these satellites (2003–2007) were then compared with precipitation gauge observations at six stations, namely, Tamar, Ramiyan, Bahlakeh-Dashli, Sadegorgan, Fazel-Abad, and Ghaffar-Haji. To compare these two groups, mean absolute error (MAE), bias, root mean square error (RMSE), and Pearson correlation coefficient criteria were calculated on daily, monthly, and seasonal basis. Furthermore, probability of detection (POD), false alarm ratio (FAR), and critical success index (CSI) were calculated for these datasets. Results indicate that, on a monthly scale, the highest correlation between observed and satellite-gathered data calculated is 0.404 for TRMM-3B42 at Bahlakeh-Dashli station. At a seasonal scale, the highest correlation is calculated for winter data and using PERSIANN data, while for the other seasons, TRMM-3B42 data showed the best correlation with observed data. The high values of RMSE and MAE for winter data showed that the satellites provided poor estimations at this season. The best and the worst values of RMSE for studied satellites belonged to Sadegorgan and Ramiyan stations, respectively. Furthermore, the PERSIANN gains a better CSI and POD while TRMM-3B42V7 showed a better FAR.

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Evaluation of Multi-Precipitation Products for Multi-Time Scales and Spatial Distribution During 2007-2015

Civil Engineering Journal ◽

10.28991/cej-2019-03091242 ◽

2019 ◽

Vol 5 (1) ◽

pp. 255 ◽

Cited By ~ 6

Author(s):

Nguyen Tien Thanh

Keyword(s):

Time Series ◽

Spatial Distribution ◽

Water Resources ◽

Time Scales ◽

Heavy Rain ◽

Multiple Time Scales ◽

Multiple Time ◽

Precipitation Estimates ◽

Rain Events ◽

Trmm 3B42

Recently, several precipitation products are released with the improved algorithm to strengthen the performance of precipitation construction and monitoring. These data play a key role in a wide range of hydrological models, water resources modeling and environmental researches. Especially in developing countries like Vietnam, it is challenging to gather data for long-term time series at scales of daily and sub-daily due to the very coarse density of observation station. In order to overcome the problem of data scarcity, this study aims to evaluate the performance of newest multiple precipitation products including Tropical Rainfall Measuring Mission (TRMM 3B42 V7), Climate Prediction Center (CPC) MORPHing Version 1.0 (CMORPH_V1.0), European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis systems (ERA-Interim), Climate Research Unit Time series Version 4.0.1 (CRU TS 4.0.1) and Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources version 2 (APHRODITE) in comparison with measured precipitation for multiple time scales (daily, monthly, seasonal and annual), taking the VuGia-ThuBon (VG-TB) as a pilot basin where climate regime is complex. Seven continuous and four dichotomous statistics are applied to evaluate the precipitation estimates qualitatively at multiple time scales. In addition, specifically, evaluation of spatial distribution of multiple time scales is implemented. The results show lower precipitation estimates in areas of high elevation and higher precipitation estimates over the areas of plain and coastal in comparison with measured precipitation for all considered precipitation data. More importantly, ERA-Interim well captures rain events of heavy rain (50.0-100 mm/day). CMORHPH_V1.0 better reproduces the rain events with little overestimation of light rain (0.6-6 mm/day) than the others. For zero rain events (0-0.6 mm/day), TRMM 3B42 V7 gives the best performance. Furthermore, the cumulative distribution function of APHRODITE well matches the distribution of measured precipitation. All precipitation products completely fail to capture the rain events of extremely heavy rain. More importantly, a formula is proposed to scale and adjust the merged satellite precipitation at a sub-daily scale.

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Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China

Remote Sensing ◽

10.3390/rs10060944 ◽

2018 ◽

Vol 10 (6) ◽

pp. 944 ◽

Cited By ~ 33

Author(s):

Cheng Chen ◽

Qiuwen Chen ◽

Zheng Duan ◽

Jianyun Zhang ◽

Kangle Mo ◽

...

Keyword(s):

Comparative Evaluation ◽

Transition Area ◽

Climate Transition ◽

Trmm 3B42

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Evaluation of TRMM 3B42 precipitation estimates and WRF retrospective precipitation simulation over the Pacific–Andean region of Ecuador and Peru

Hydrology and Earth System Sciences ◽

10.5194/hess-18-3179-2014 ◽

2014 ◽

Vol 18 (8) ◽

pp. 3179-3193 ◽

Cited By ~ 63

Author(s):

A. Ochoa ◽

L. Pineda ◽

P. Crespo ◽

P. Willems

Keyword(s):

South America ◽

Weather Prediction ◽

Probability Of Detection ◽

Rainfall Data ◽

Andean Region ◽

Data Scarcity ◽

Time Aggregation ◽

The Pacific ◽

Precipitation Estimates ◽

Trmm 3B42

Abstract. The Pacific–Andean region in western South America suffers from rainfall data scarcity, as is the case for many regions in the South. An important research question is whether the latest satellite-based and numerical weather prediction (NWP) model outputs capture well the temporal and spatial patterns of rainfall over the region, and hence have the potential to compensate for the data scarcity. Based on an interpolated gauge-based rainfall data set, the performance of the Tropical Rainfall Measuring Mission (TRMM) 3B42 V7 and its predecessor V6, and the North Western South America Retrospective Simulation (OA-NOSA30) are evaluated over 21 sub-catchments in the Pacific–Andean region of Ecuador and Peru (PAEP). In general, precipitation estimates from TRMM and OA-NOSA30 capture the seasonal features of precipitation in the study area. Quantitatively, only the southern sub-catchments of Ecuador and northern Peru (3.6–6° S) are relatively well estimated by both products. The accuracy is considerably less in the northern and central basins of Ecuador (0–3.6° S). It is shown that the probability of detection (POD) is better for light precipitation (POD decreases from 0.6 for rates less than 5 mm day−1 to 0.2 for rates higher than 20 mm day−1. Compared to its predecessor, 3B42 V7 shows modest region-wide improvements in reducing biases. The improvement is specific to the coastal and open ocean sub-catchments. In view of hydrological applications, the correlation of TRMM and OA-NOSA30 estimates with observations increases with time aggregation. The correlation is higher for the monthly time aggregation in comparison with the daily, weekly, and 15-day time scales. Furthermore, it is found that TRMM performs better than OA-NOSA30 in generating the spatial distribution of mean annual precipitation.

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tEvaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes

Atmospheric Research ◽

10.1016/j.atmosres.2021.105881 ◽

2021 ◽

pp. 105881

Author(s):

Yuefen Zhang ◽

Chuanhao Wu ◽

Pat J.-F. Yeh ◽

Jianzhu Li ◽

Bill X. Hu ◽

...

Keyword(s):

Precipitation Estimates ◽

Trmm 3B42

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Evaluation of Gridded Multi-Satellite Precipitation (TRMM-3B42-V7) Estimation Performance in the Upper Indus Basin (UIB)

10.20944/preprints201808.0340.v1 ◽

2018 ◽

Author(s):

Asim Jahangir Khan ◽

Manfred Koch ◽

Karen Milena Chinchilla

Keyword(s):

Time Scale ◽

Winter Season ◽

Indus Basin ◽

False Alarms ◽

Temporal Aggregation ◽

Upper Indus Basin ◽

Gauge Data ◽

Precipitation Estimates ◽

Trmm Precipitation ◽

Trmm 3B42

The present study aims to evaluate the capability of the TRMM-3B42-(V7) precipitation product to estimate appropriate precipitation rates in the Upper Indus basin (UIB) and the analysis of the dependency of the estimates’ accuracies on the time scale. To that avail statistical analyses and comparison of the TMPA- products with gauge measurements in the UIB are carried out. The dependency of the TMPA estimates’ quality on the time scale is analysed by comparisons of daily, monthly, seasonal and annual sums for the UIB. The results show considerable biases in the TMPA- (TRMM) precipitation estimates for the UIB, as well as high false alarms and miss ratios. The correlation of the TMPA- estimates with ground-based gauge data increases considerably and almost in a linear fashion with increasing temporal aggregation, i.e. time scale. The BIAS is mostly positive for the summer season, while for the winter season it is predominantly negative, thereby showing a slight over-estimation of the precipitation in summer and under-estimation in winter. The results of the study suggest that, in spite of these discrepancies between TMPA- estimates and gauge data, the use of the former in hydrological watershed modelling, endeavoured presently by the authors, may be a valuable alternative in data- scarce regions, like the UIB, but still must be taken with a grain of salt.

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Evaluation of TRMM 3B42 precipitation estimates of tropical cyclone rainfall using PACRAIN data

Journal of Geophysical Research Atmospheres ◽

10.1002/jgrd.50250 ◽

2013 ◽

Vol 118 (5) ◽

pp. 2184-2196 ◽

Cited By ~ 93

Author(s):

Yingjun Chen ◽

Elizabeth E. Ebert ◽

Kevin J.E. Walsh ◽

Noel E. Davidson

Keyword(s):

Tropical Cyclone ◽

Precipitation Estimates ◽

Trmm 3B42

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Comparison of In-the-Ear and Over-the-Ear Hearing Aid Fittings

Journal of Speech and Hearing Disorders ◽

10.1044/jshd.5104.362 ◽

1986 ◽

Vol 51 (4) ◽

pp. 362-369 ◽

Cited By ~ 4

Author(s):

Donna M. Risberg ◽

Robyn M. Cox

Keyword(s):

Hearing Aids ◽

High Frequency ◽

Comparative Evaluation ◽

Speech Intelligibility ◽

Hearing Aid ◽

Hearing Aid Fitting ◽

The Difference ◽

Functional Gain ◽

The Relationship

A custom in-the-ear (ITE) hearing aid fitting was compared to two over-the-ear (OTE) hearing aid fittings for each of 9 subjects with mild to moderately severe hearing losses. Speech intelligibility via the three instruments was compared using the Speech Intelligibility Rating (SIR) test. The relationship between functional gain and coupler gain was compared for the ITE and the higher rated OTE instruments. The difference in input received at the microphone locations of the two types of hearing aids was measured for 10 different subjects and compared to the functional gain data. It was concluded that (a) for persons with mild to moderately severe hearing losses, appropriately adjusted custom ITE fittings typically yield speech intelligibility that is equal to the better OTE fitting identified in a comparative evaluation; and (b) gain prescriptions for ITE hearing aids should be adjusted to account for the high-frequency emphasis associated with in-the-concha microphone placement.

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