scholarly journals On the great storm of december 3,1863, as recorded by the self-registering instruments at the Liverpool Observatory

1864 ◽  
Vol 13 ◽  
pp. 109-110

The accompanying diagram exhibits the strength and direction of the wind, the height of the barometer, and the rain-fall for three days preceding, two days following, and during the great storm of December 3, 1863, as recorded by the self-registering instruments at the Liverpool Observatory. The barometer-tracing is a facsimile of the original record produced by King’s self registering barometer the force and direction of the wind and the rain-fall have been taken from the sheets of Osier’s anemometer and rain-gauge; the time-scale for the anemometer has been slightly increased to adapt it to that of the barometer, and the scale of wind-pressure for each five pounds has been made uniform, instead of leaving the spaces greater or less according to the strength of the springs as in the original record. The tracings of the recording-pencils for the direction of the wind and the rain-fall are faithfully represented, but it is scarcely possible to copy the delicate shadings and every gust recorded on the original sheets by the pencil which registers the force of the wind; all the heavy pressures are, however, correctly represented, and may be taken from the diagram as accurately as from the original sheets. The figures at the bottom of the diagram show the readings of the dry- and wet-bulb thermometers and the maximum and minimum thermometers as recorded at the Observatory during the six days; the wet- and dry-bulb thermometers were read each day at 8 and 9 a. m. and at 1, 3 and 9 p .m. ; the registering dry thermometers were read and readjusted each day at 1 p. m. The time marked on the diagram for all the instruments is Greenwich mean time. For four days previous to the 30th of November the barometer had been high and steady, the readings ranging from 30·13 in. to 30·33 in the latter at noon on the 29th being the highest; from this time to midnight the fall was slow and pretty uniform; from midnight November 29 to midnight December 5 the changes of barometric pressure, the strength and direction of the wind, and the rain-fall are shown on the diagram. The fall Of the barometer on the day of the great storm was rapid from midnight to 6 a. m. ; heavy rain and hail fell from 3h 30m to 7h 20m; and from 5h 50m to 6h 45“ it was nearly calm, during which time the wind shifted from E. through S. to W. Between 6h 45m and 8h 15m the pressure of the wind increased from 0 to 16 lbs. on the square foot, and at about twenty-five minutes past eight it increased from 16 to 43 lbs. in the short space of two or three minutes; the barometer, being at its minimum, suddenly rose about three-hundredths of an inch, and during the heaviest part of the storm it continued to rise at the rate of about one-tenth of an inch an hour. The oscillations in the mercurial column, as will be seen by the diagram, were large and frequent during the storm, one of the most remarkable being immediately after 10h a. m. and nearly coincident with two of the heaviest gusts of wind ; the depression in this case amounted to between four and five hundredths of an inch, the rise following the fall so quickly that the clock moved the recording-cylinder only through just sufficient space to cause a double line to be traced by the pencil.

2021 ◽  
Author(s):  
Syachrul Arief

<p>The huge amount of water vapor in the atmosphere caused disastrous heavy rain and floods in early July 2018 in SW Japan. Here I present a comprehensive space geodetic study of water brought by this heavy rain done by using a dense network of Global Navigation Satellite System (GNSS) receivers. </p><p>First, I reconstruct sea level precipitable water vapor above land region on the heavy rain. The total amount of water vapor derived by spatially integrating precipitable water vapor on land was ~25.8 Gt, which corresponds to the bucket size to carry water from ocean to land. I then compiled the precipitation measured with a rain radar network. The data showed the total precipitation by this heavy rain as ~22.11 Gt.</p><p>Next, I studied the crustal subsidence caused by the rainwater as the surface load. The GNSS stations located under the heavy rain area temporarily subsided 1-2 centimeters and the subsidence mostly recovered in a day. Using such vertical crustal movement data, I estimated the distribution of surface water in SW Japan. </p><p>The total amount of the estimated water load on 6 July 2018 was ~68.2 Gt, which significantly exceeds the cumulative on-land rainfalls of the heavy rain day from radar rain gauge analyzed precipitation data. I consider that such an amplification of subsidence originates from the selective deployment of GNSS stations in the concave places, e.g. along valleys and within basins, in the mountainous Japanese Islands.</p>


2015 ◽  
Vol 16 (4) ◽  
pp. 1658-1675 ◽  
Author(s):  
Bong-Chul Seo ◽  
Brenda Dolan ◽  
Witold F. Krajewski ◽  
Steven A. Rutledge ◽  
Walter Petersen

Abstract This study compares and evaluates single-polarization (SP)- and dual-polarization (DP)-based radar-rainfall (RR) estimates using NEXRAD data acquired during Iowa Flood Studies (IFloodS), a NASA GPM ground validation field campaign carried out in May–June 2013. The objective of this study is to understand the potential benefit of the DP quantitative precipitation estimation, which selects different rain-rate estimators according to radar-identified precipitation types, and to evaluate RR estimates generated by the recent research SP and DP algorithms. The Iowa Flood Center SP (IFC-SP) and Colorado State University DP (CSU-DP) products are analyzed and assessed using two high-density, high-quality rain gauge networks as ground reference. The CSU-DP algorithm shows superior performance to the IFC-SP algorithm, especially for heavy convective rains. We verify that dynamic changes in the proportion of heavy rain during the convective period are associated with the improved performance of CSU-DP rainfall estimates. For a lighter rain case, the IFC-SP and CSU-DP products are not significantly different in statistical metrics and visual agreement with the rain gauge data. This is because both algorithms use the identical NEXRAD reflectivity–rain rate (Z–R) relation that might lead to substantial underestimation for the presented case.


2006 ◽  
Vol 23 (1) ◽  
pp. 45-59
Author(s):  
Mercedes García Bachmann

AbstractIn conversation with a proposal that the book of Jonah was written as a reaction to the two apparently contradictory wisdom sayings of Proverbs 13:21 and Psalm 25:8, this paper reviews the book of Jonah in light of the two maxims from a Latin American perspective. Noting the element of surprise throughout the book, the author gives a contextual interpretation to the change of Jonah's appearance from dove (a passive character) to wolf (an enraged character) willing to die rather than witness God's mercy. As a missionary concern, the author parallels the anger of "Christian continent" (Latin America) against God's mercy for "outsiders" and the continent's self-righteousness with Jonah's enraged character. The self-righteousness is so strong that churches and congregations would rather die than open God's grace to others (Jonah 4). The paper concludes by stating that gender studies have alerted us to the danger of employing either/or (rather than both/and) and hierarchical (rather than egalitarian) categories and interpretations that do not leave sufficient space for diversity, both in the biblical text and in congregational life today.


1877 ◽  
Vol 25 (171-178) ◽  
pp. 402-411

In a paper which was read before the Royal Society in 1873, and which was honoured with a place in the 'Philosophical Transactions' of that year, I discussed the diurnal variations of the wind and barometric pressure at Bombay, and deduced therefrom the fact that a system of diurnal wind-currents moves synchronally with the diurnal variation of barometric pressure. Reasons, were given for believing that that system of diurnal wind-currents is a universal phenomenon; and on that hypothesis I showed how the diurnal variations of the barometer could be explained as a result of those currents. I have lately examined closely the “Discussion of the Anemometrical Results furnished by the self-recording Anemometer at Bermuda,” which forms Appendix II. of the ‘Quarterly Weather-Report of the Meteorological Office, London,’ July to September 1872. Those results support the conclusions arrived at in my former paper in such a remarkable manner as to justify the readvancement of some of them in a form which will prominently exhibit their relation to the diurnal variation of the barometer.


Author(s):  
D. Gajski ◽  
A. Solter ◽  
M. Gašparovic

Many valuable archaeological artefacts have the size of a few centimetres or less. The production of relevant documentation of such artefacts is mainly limited to subjective interpretation and manual drawing techniques using a magnifier. Most of the laser scanners available for the archaeological purposes cannot reach sufficient space resolution to gather all relevant features of the artefact, such as the shape, the relief, the texture and any damage present. Digital photogrammetric techniques make measuring with high accuracy possible and such techniques can be used to produce the relevant archaeometric documentation with a high level of detail. The approaches for shooting a good macro photograph (in the photogrammetric sense) will be explored and discussed as well as the design of a calibration test-field and the self-calibration methods suitable for macro photogrammetry. Finally, the method will be tested by producing a photorealistic 3D-model of an ancient figurine.


2015 ◽  
Vol 8 (10) ◽  
pp. 10635-10661
Author(s):  
G. B. França ◽  
M. V. de Almeida ◽  
A. C. Rosette

Abstract. Nowadays many social activities require short-term (one to two hours) and local area forecasts of extreme weather. In particular, air traffic systems have been studying how to minimize the impact of meteorological events, such as turbulence, wind shear, ice, and heavy rain, which are related to the presence of convective systems during all flight phases. This paper presents an alternative self-nowcast model, based on neural network techniques, to produce short-term and local-specific forecasts of extreme meteorological events in the area of the landing and take-off region of Galeão, the principal airport in Rio de Janeiro, Brazil. Twelve years of data were used for neural network training and validation. Data are originally from four sources: (1) hourly meteorological observations from surface meteorological stations at five airports distributed around the study area, (2) atmospheric profiles collected twice a day at the meteorological station at Galeão Airport, (3) rain rate data collected from a network of twenty-nine rain gauges in the study area; and (4) lightning data regularly collected by national detection networks. An investigation was done about the capability of a neural network to produce early warning signs – or as a nowcasting tool – for extreme meteorological events. The self-nowcast model was validated using results from six categorical statistics, indicated in parentheses for forecasts of the first, second, and third hours, respectively, namely: proportion correct (0.98, 0.96, and 0.94), bias (1.37, 1.48, and 1.83), probability of detection (0.84, 0.80, and 0.76), false-alarm ratio (0.38, 0.46, and 0.58), and threat score (0.54, 0.47, and 0.37). Possible sources of error related to the validation procedure are discussed. Two key points have been identified in which there is a possibility of error: i.e., subjectivity on the part of the meteorologist making the observation, and a rain gauge measurement error of about 20 % depending on wind speed. The latter was better demonstrated when lightning data were included in the validation. The validation showed that the proposed model's performance was quite encouraging for the first and second hours.


The study was undertaken to design a weir in sivakasi lake of Tamil nadu. The present details of the lake such as combined catchment, intercepted catchment of the lake, full tank level, maximum water level of the tank, bund level, ground level and details of the weir such as size of the weir, materials used for the construction of the weir were analysed. And we have collected the population in that area, rain fall data, flood ratio of that particular lake and total number of houses in that area, number of houses in upstream and number of houses in down stream of the lake. The cause of designing a weir is due to the damage in the existing weir and bunds of the lake so it cannot with stand the pressure of the water in heavy rain fall. To avoid the flood water entering in the residential areas near by the lake we have designed a weir. So that the water can be saved in the lake and there will be no flood occurs in due to the heavy rain fall.


MATEMATIKA ◽  
2019 ◽  
Vol 35 (2) ◽  
pp. 157-170
Author(s):  
Mohd Khairul Bazli Mohd Aziz ◽  
Fadhilah Yusof ◽  
Zalina Mohd Daud ◽  
Zulkifli Yusop ◽  
Mohammad Afif Kasno

The well-known geostatistics method (variance-reduction method) is commonly used to determine the optimal rain gauge network. The main problem in geostatistics method to determine the best semivariogram model in order to be used in estimating the variance. An optimal choice of the semivariogram model is an important point for a good data evaluation process. Three different semivariogram models which are Spherical, Gaussian and Exponential are used and their performances are compared in this study. Cross validation technique is applied to compute the errors of the semivariograms. Rain-fall data for the period of 1975 – 2008 from the existing 84 rain gauge stations covering the state of Johor are used in this study. The result shows that the exponential model is the best semivariogram model and chosen to determine the optimal number and location of rain gauge station.


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