Microwave radiometer, sun-photometer and GNSS multi-comparison of integrated water vapor in Southwestern Europe
Metadatos
Mostrar el registro completo del ítemEditorial
Elsevier
Materia
Water vapor Sun-photometer GNSS Southwestern Europe Iberia
Fecha
2023-03-08Referencia bibliográfica
J. Vaquero-Martínez et al. Microwave radiometer, sun-photometer and GNSS multi-comparison of integrated water vapor in Southwestern Europe. Atmospheric Research 287 (2023) 106698[https://doi.org/10.1016/j.atmosres.2023.106698]
Patrocinador
Fundacao para a Ciencia e a Tecnologia (FCT); ICT project UIDB/04683/2020; TOMAQAPA project PTDC/CTAMET/29678/2017; Ministry of Science and Innovation, Spain (MICINN) Spanish Government RYC2019-027519-I; MCIN/AE PID2021-128008OB-I00; European Commission 871115; ATMO_ACCESS 101008004; Ministry of Science and Innovation, Spain (MICINN) PID2020-120015RB-I00; Junta de Andalucia P-18-RT-3820Resumen
This work presents a comparison of integrated water vapor (IWV) data recorded from microwave radiometer
(MWR) and sun-photometer (SP) using global navigation satellite system (GNSS) IWV as reference in five midlatitude
sites of Portugal and Spain (2003–2021). A very high correlation is obtained for both instruments (R2
between 0.94 and 0.98), although, while MWR shows a wet bias, SP exhibits a dry one. In addition, a dependence
of mean bias error (MBE) and standard deviation (SD) on IWV has been observed, increasing (larger discrepancies)
both indices as IWV increases. The solar zenith angle (SZA) dependence is also studied, finding slightly
larger discrepancies for the MWR than for SP in comparison with GNSS for very high values of SZA. Finally, a
marked seasonal dependence is observed for SP-GNSS differences, modulated by the IWV dependence explained
above. In contrast, the seasonal dependence for MWR is quite weaker than it is for SP. Therefore, in spite of the
excellent agreement found among the different instruments, it is recommended that: i) the dependence with IWV
be studied and corrected to further increase the performance of the instruments, and ii) metadata be used to filter
out situations in which the instrument cannot operate properly.