Total water vapor content retrieval from sun photometer data

Firsov, K. M.; Chesnokova, T. Yu.; Бобров, Е. В.; Klitochenko, I. I.

doi:10.1134/s1024856013040040

Cited by 13 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These problems demand the invention of accurate, reliable, resilient, and adaptative remote sensing techniques that predict, monitor, and minimize the influence of TWVC with sufficient spatial coverage and temporal resolution. observation infrastructure such as surface meteorology, Raman light detection and ranging instruments (R Lidar), differential absorption Lidar, microwave radiometry, and sun photometers have proven successful in mapping the TWVC distribution with high temporal resolution and adequate precision [1,[5][6][7][8][9][10][11]. However, these techniques are usually immovable, costly, require continuous maintenance, and have small spatial coverage.…”

Section: Introductionmentioning

confidence: 99%

A Study on the Derivation of Atmospheric Water Vapor Based on Dual Frequency Radio Signals and Intersatellite Communication Networks

Nyamukondiwa,

Orger,

Nakayama

et al. 2023

Aerospace

View full text Add to dashboard Cite

The atmospheric total water vapor content (TWVC) affects climate change, weather patterns, and radio signal propagation. Recent techniques such as global navigation satellite systems (GNSS) are used to measure TWVC but with either compromised accuracy, temporal resolution, or spatial coverage. This study demonstrates the feasibility of predicting, mapping, and measuring TWVC using spread spectrum (SS) radio signals and software-defined radio (SDR) technology on low Earth-orbiting (LEO) satellites. An intersatellite link (ISL) communication network from a constellation of small satellites is proposed to achieve three-dimensional (3D) mapping of TWVC. However, the calculation of TWVC from satellites in LEO contains contribution from the ionospheric total electron content (TEC). The TWVC and TEC contribution are determined based on the signal propagation time delay and the satellites’ positions in orbit. Since TEC is frequency dependent unlike TWVC, frequency reconfiguration algorithms have been implemented to distinguish TWVC. The novel aspects of this research are the implementation of time stamps to deduce time delay, the unique derivation of TWVC from a constellation setup, the use of algorithms to remotely tune frequencies in real time, and ISL demonstration using SDRs. This mission could contribute to atmospheric science, and the measurements could be incorporated into the global atmospheric databases for climate and weather prediction models.

show abstract

Section: Introductionmentioning

confidence: 99%

A Study on the Derivation of Atmospheric Water Vapor Based on Dual Frequency Radio Signals and Intersatellite Communication Networks

Nyamukondiwa,

Orger,

Nakayama

et al. 2023

Aerospace

View full text Add to dashboard Cite

show abstract

“…PWV is commonly expressed in mm, in terms of the height to which that water would stand if completely condensed and collected in a vessel with a cross section of 1 m 2 . PWV can be measured by equipped radiosounding balloons, radiometers both from ground (Fowle,35 1912; Guiraud et al, 1979;Carilli and Holdaway, 1999;Smith et al, 2001) or satellites (Grody et al, 1980;Menzel et al, 1998;Gao and Kaufman, 2003;Deeter, 2007;Wong et al, 2015), sun photometers (Bird and Hulstrom, 1982;Volz, 1983;Plana-Fattori et al, 1998;Firsov et al, 2013), lunar photometers (Barreto et al, 2013), GPS receivers (Bevis et al, 1992(Bevis et al, , 1994, Fourier Transform Infrared spectrometers (Kurylo, 1991;Schneider et al, 2006) and others (Schneider et al, 2010). Among 40 them, atmospheric radiosoundings are a direct in situ measurement and one of the most accurate techniques to retrieve the PWV.…”

Section: Introductionmentioning

confidence: 99%

A semi-empirical error estimation for PWV derived from atmospheric radiosonde data at the Canary Islands

Castro-Almazán

Pérez-Jordán

Muñoz–Tuñón

2016

Preprint

View full text Add to dashboard Cite

Abstract. An unbiased method to estimate the error and the optimum number of sampled levels in Precipitable Water Vapour (PWV) determinations from atmospheric radiosoundings is proposed. Two components have been considered, the uncertainties in the measures and the sampling error. The sampling component has been modelled from an empirical dataset of 64 high vertical resolution radiosounding profiles equipped with sondes Vaisala RS80 and RS92. The balloons were launched at the astronomical Roque de los Muchachos Observatory (ORM, ~2200 masl), during intensive and unique site testing runs carried out in 1990 and 1995, and from the neighbour operational station of Güímar, in Tenerife (TFE, ~105 masl) in 2013–2014. The PWV values ranged between ~0.9 mm and ~41 mm. The method takes into account the dependence on the number of samples measured, after sub-sampling the profile for error minimization, and was tested by comparison with a dataset of 42 extremely low resolution profiles only sampling the standard levels (~15 levels). The results show that errors are larger for the wettest atmosphere conditions. On the other hand, drier conditions requires a larger optimum number of samples. The optimum number of samples N0 is less than 200 for PWV ≥ 10 mm. For drier conditions, as in astronomical sites, N0 grows up to ~550 levels. This result may be important forPWV determinations in astronomical observatories. The absolute errors are always < 0.6 mm, with a median relative error of 2.4 &pm; 0.8 % and extreme value of 7.9 % in the driest condition (PWV = 0.89 mm). These errors reduce the uncertainties previously reported in the literature. Nevertheless, errors grow up to 30 % in poorly sampled profiles (the number of samples being less than N0) for dry atmospheres. Alternative equations for direct error estimation, specifically for PWV from radiosoundings equipped with Vaisala RS80 and RS92 sensors, are also provided.

show abstract

“…Influence of variations of meteorological parameters and distinctions in models of the H 2 O continual absorption on calculations of solar and thermal radiation fluxes under conditions realized during various seasons in Western Siberia [Chesnokova et al, Zhuravleva et al, 2014] and the Lower Volga Region [Firsov et al, 2013[Firsov et al, , 2015 have been estimated. Based on calculations of total, direct and diffusion solar radiation fluxes in the 0.2-5 mm range under cloudless atmosphere for various models of the water vapor continual absorption and various total moisture contents characteristic for summer and winter conditions of Western Siberia, it is shown that the CAVIAR model of the continual absorption based on new experimental data provides the higher sensitivity of calculated solar radiation fluxes to the total moisture content in comparison with the MT_ CKD model [Chesnokova et al, 2012.…”

Section: Radiative Climatologymentioning

confidence: 99%