3.21.1. ARG100

3.21.1.1. Introduction

The ARG100 precipitation sensor is a cost effective yet accurate device. It uses the tipping bucket method. One has been used for weather measurements at SWT. See SWTWXSTATION for the file output definitions for the ARG100 deployed at this site.

3.21.1.2. Manufacturer and Model

Model

Brand

Type

ARG100

Campbell Scientific

Rain Gauge

3.21.1.3. Output definitions

Ouput definition ID

File Identifier

Level Number

QAQC notes

File time resolution

ARG100

ARG100_%SITE

0

No QAQC

15min

3.21.1.4. Variables measured by instrument

Table 3.17 Variables measured - sorted alphabetically

Variable ID

Full Name

Unit

Lower Threshold

Upper Threshold

Files present (Output definition ID,Level No,Time resolution)

rain_acc

Rain accumulation over file interval period

mm

0.0

3.0

ARG100,0,15min

3.21.1.5. Serials

Serial

Suffix

042908

A

SOUTHWARK_ARG100

B

3.21.1.6. Deployments

3.21.1.6.1. Serial number: SOUTHWARK_ARG100

Site ID

Start date

End date

SWT

1999-05-10 00:00

2017-03-17 00:00

SWT

2017-03-18 00:00

3.21.1.6.2. Serial number: 042908

Site ID

Start date

End date

KSS45W

2009-12-17 00:00

2016-04-14 00:00

KSSW

2016-07-14 00:00

2017-06-13 00:00

3.21.1.7. Photos

../../../_images/23-07-2020_(16).JPEG

Fig. 3.54 ARG100 (foreground) at SWT 23/07/2020

../../../_images/23788129985_a034c590ba_o.jpg

Fig. 3.55 ARG100 (middle of image) at KSS45W 31/08/2010

../../../_images/r0015473_23161289573_o.jpg

Fig. 3.56 At KSSW 2016 - 2017

3.21.1.8. Supplementary information

Link

Title

Description

ARG100 manual

ARG100 manual

Manual from Campbell Scientific

3.21.1.9. Data acquisition

Data can be requested from Prof. Sue Grimmond (c.s.grimmond@reading.ac.uk).

3.21.1.10. References

  1. Kotthaus, S. and Grimmond, C. S. B. (2014) Energy exchange in a dense urban environment – part I: temporal variability of long-term observations in central London. Urban Climate, 10 (2). pp. 261-280. ISSN 2212-0955 doi: https://doi.org/10.1016/j.uclim.2013.10.002

  2. Magliulo, V., Toscano, P., Grimmond, C. S. B., Kotthaus, S., J�rvi, L., Set�l�, H., Lindberg, F., Vogt, R., Staszewski, T., Bubak, A., Synnefa, A. and Santamouris, M. (2014) Environmental measurements in BRIDGE case studies. In: Chrysoulakis, N., de Castro, E. A. and Moors, E. J. (eds.) Understanding Urban Metabolism. Routledge, pp. 45-57. ISBN 9780415835114

  3. Wood, C. R., Pauscher, L., Ward, H. C., Kotthaus, S., Barlow, J., Gouvea, M., Lane, S. E. and Grimmond, C. S. B. (2013) Wind observations above an urban river using a new lidar technique, scintillometry and anemometry. Science of the Total Environment, 442. pp. 527-533. ISSN 0048-9697 doi: https://doi.org/10.1016/j.scitotenv.2012.10.061

  4. Kotthaus, S. and Grimmond, C. S. B. (2012) Identification of micro-scale anthropogenic CO2, heat and moisture sources – processing eddy covariance fluxes for a dense urban environment. Atmospheric Environment, 57. pp. 301-316. ISSN 1352-2310 doi: https://doi.org/10.1016/j.atmosenv.2012.04.024

Tip

  1. Stuck? the user guide is a useful place to start.

  2. Please report issues at GitHub Issues. Go from the page with the problem - an automatic link will be inserted. Thanks.