Evidence map›Paper›PMID 35590910›Full record

ArticleSensors (Basel, Switzerland)2022

Field Campaign Evaluation of Sensors Lufft GMX500 and MaxiMet WS100 in Peruvian Central Andes.

Jairo M Valdivia, David A Guizado, José L Flores-Rojas, Delia P Gamarra, Yamina F Silva-Vidal, Edith R Huamán

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jairo M ValdiviaInstituto Geofísico del Perú, Lima 15012, Peru.ORCID 0000-0003-0709-1163
David A GuizadoInstituto Geofísico del Perú, Lima 15012, Peru.ORCID 0000-0001-7715-5666
José L Flores-RojasInstituto Geofísico del Perú, Lima 15012, Peru.ORCID 0000-0002-7220-2643
Delia P GamarraUniversidad Nacional del Centro del Perú, Huancayo 12006, Peru.ORCID 0000-0002-6262-237X
Yamina F Silva-VidalInstituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña, Lima 15038, Peru.ORCID 0000-0003-0653-0224
Edith R HuamánUniversidad Nacional del Centro del Perú, Huancayo 12006, Peru.ORCID 0000-0002-7834-9638

Funding

Universidad Nacional del Centro del Perú 2414-CU-2017
6 · The paper itself

Abstract

The research presents the inter-comparison of atmospheric variables measured by 9 automatic weather stations. This set of data was compared with the measurements of other weather stations in order to standardize the values that must be adjusted when taken to different areas. The data of a set of a total of 9 GMX500, which measures conventional meteorological variables, and 10 WS100 sensors, which measures precipitation parameters. The automatic stations were set up at the Huancayo Observatory (Geophysical Institute of Peru) for a period of 5 months. The data set of GMX500 were evaluated comparing with the average of the 9 sensors and the WS100 was compared with an optical disdrometer Parsivel2. The temperature, pressure, relative humidity, wind speed, rainfall rate, and drop size distribution were evaluated. A pair of GMX500 sensors presented high data dispersion; it was found found that the errors came from a bad configuration; once this problem was solved, good agreement was archived, with low RMSE and high correlation. It was found that the WS100 sensors overestimate the precipitation with a percentage bias close to 100% and the differences increase with the greater intensity of rain. The drop size distribution retrieved by WS100 have unrealistic behavior with higher concentrations in diameters of 1 mm and 5 mm, in addition to a flattened curve.

Indexed as

RainWeatherHumidityPeruTemperatureWinddrop size distributionDSDHuancayo Observatorymeteorological instrumentsPeruvian Central Andes

Identifiers

PMID35590910
PMCPMC9099462

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.