A Comparison of the Accuracy of Multi-satellite Precipitation Estimation and Ground Meteorological Records Over Southwestern Nigeria

Akinyemi, Deborah F.; Ayanlade, Oluwatoyin S.; Nwaezeigwe, Joy O.; Ayanlade, Ayansina

doi:10.1007/s41976-019-00029-3

Cited by 23 publications

(15 citation statements)

References 51 publications

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“…Satellite observations have been widely used during recent decades for several meteorological, hydrological and climatological applications incorporating precipitation data worldwide [1][2][3][4][5][6]. In order to fill in where ground observations are absent or sparse, satellite estimations have been evolving using sophisticated algorithms that can identify rainfall, snow and/or other hydrometeors [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Comparison of GPM IMERG and TRMM 3B43 Products over Cyprus

et al. 2020

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Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) high-resolution product and Tropical Rainfall Measuring Mission (TRMM) 3B43 product are validated against rain gauges over the island of Cyprus for the period from April 2014 to June 2018. The comparison performed is twofold: firstly, the Satellite Precipitation (SP) estimates are compared with the gauge stations’ records on a monthly basis and, secondly, on an annual basis. The validation is based on ground data from a dense and well-maintained network of rain gauges, available in high temporal (hourly) resolution. The results show high correlation coefficient values, on average reaching 0.92 and 0.91 for monthly 3B43 and IMERG estimates, respectively, although both IMERG and TRMM tend to underestimate precipitation (Bias values of −1.6 and −3.0, respectively), especially during the rainy season. On an annual basis, both SP estimates are underestimating precipitation, although IMERG estimates records (R = 0.82) are slightly closer to that of the corresponding gauge station records than those of 3B43 (R = 0.81). Finally, the influence of elevation of both SP estimates was considered by grouping rain gauge stations in three categories, with respect to their elevation. Results indicated that both SP estimates underestimate precipitation with increasing elevation and overestimate it at lower elevations.

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Section: Introductionmentioning

confidence: 99%

Comparison of GPM IMERG and TRMM 3B43 Products over Cyprus

et al. 2020

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“…Funding issues and lack of serious efforts have limited topography and multi-climate regions of Nigeria are still lacking in literature. Local evaluation of remotely sensed-data is necessary before utilization by government agencies because of their inherent uncertainties and limitations, especially in developing countries riddled with paucity of ground-truth data for adequate calibration and bias reductions [7,14]. Few studies [4,7,17] have attempted to validate the capability of some satellite-based rainfall products in Nigeria.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Satellite-Based Rainfall Products over Nigeria

Ogbu

Hounguè

Gbode

et al. 2020

Climate

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Understanding the variability of rainfall is important for sustaining rain-dependent agriculture and driving the local economy of Nigeria. Paucity and inadequate rain gauge network across Nigeria has made satellite-based rainfall products (SRPs), which offer a complete spatial and consistent temporal coverage, a better alternative. However, the accuracy of these products must be ascertained before use in water resource developments and planning. In this study, the performances of Climate Hazards Group Infrared Precipitation with Station data (CHIRPS), Precipitation estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR), and Tropical Applications of Meteorology using SATellite data and ground-based observations (TAMSAT), were evaluated to investigate their ability to reproduce long term (1983–2013) observed rainfall characteristics derived from twenty-four (24) gauges in Nigeria. Results show that all products performed well in terms of capturing the observed annual cycle and spatial trends in all selected stations. Statistical evaluation of the SRPs performance show that CHIRPS agree more with observations in all climatic zones by reproducing the local rainfall characteristics. The performance of PERSIANN and TAMSAT, however, varies with season and across the climatic zones. Findings from this study highlight the benefits of using SRPs to augment or fill gaps in the distribution of local rainfall data, which is critical for water resources planning, agricultural development, and policy making.

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“…The reliability of satellite-derived meteorological data has been tested in very recent past with very positive outcomes. Akinyemi et al (2020) compared satellite-derived rainfall records namely; CHIRPS, TRIMM and RFE data for six locations in South-west Nigeria with records from NIMET ground stations in order to ascertain the reliability of satellite derived data. The authors reported very high positive correlation values as presented in Table 1.…”

Section: Figure 2: Map Showing Sampling Locationsmentioning

confidence: 99%

Weighted Linear Combination Procedures with GIS and Remote Sensing in Flood Vulnerability Analysis of Abeokuta Metropolis in Nigeria

Oyedepo

Adegboyega

Oluyege

2021

Nig. J. Env. Sci. & Tech.

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The study offered the opportunity for an evaluation of the role of Remote Sensing and Geospatial techniques in flood disaster risk management and development of spatial decision support system for flood risk assessment and management in Abeokuta metropolis. Datasets used includes cloud free high resolution satellite images and Shuttle Radar Topographic Mission (SRTM) data downloaded from earth explorer site. Soil data used was obtained from Food and Agriculture Organization (FAO’s) Harmonised World Soil Database, while rainfall data was obtained from the Climate Hazards Group InfraRed Precipitation Station. Maps of flood enhancing factors namely: soil types, rainfall intensity, drainage density and topography were created in Geographic Information Systems using same scale of 1: 50,000 and Geographic coordinate system (WGS 1984). All maps were produced in raster format with the same cell grid cell size of 0.0028 mm. They were then subjected to weighting by ranking and Multi-Criteria Analysis (MCA) using the Weighted Linear Combination. The study identified topography and land use as key factors contributing to flooding within Abeokuta metropolis. Obstruction of natural drainage channels by buildings aggravates disasters from flash flood events.

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A Comparison of the Accuracy of Multi-satellite Precipitation Estimation and Ground Meteorological Records Over Southwestern Nigeria

Cited by 23 publications

References 51 publications

Comparison of GPM IMERG and TRMM 3B43 Products over Cyprus

Comparison of GPM IMERG and TRMM 3B43 Products over Cyprus

Performance Evaluation of Satellite-Based Rainfall Products over Nigeria

Weighted Linear Combination Procedures with GIS and Remote Sensing in Flood Vulnerability Analysis of Abeokuta Metropolis in Nigeria

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