Four open datasets of atmospheric ion and

aerosol measurements

Four open datasets of atmospheric ion and

aerosol measurementsHannes.Tammet@ut.ee

with acknowledgements to colleaguesproviding the data for open access datasets

The DataCite global consortium

(https://www.datacite.org) supports

archiving of research data and helps to

assign to datasets digital object

identifiers (DOI). This opportunity is

used uploading datasets of atmospheric

ion and aerosol measurements to

a safe repository and making the data

accessible for everybody.

ATMEL2007A ► http://dx.doi.org/10.15155/repo-1

FinEstIon2003_06 ► http://dx.doi.org/10.15155/repo-4

Hyytiala08_10aerosol ► http://dx.doi.org/10.15155/repo-3

Nanoion2010_11 ► http://dx.doi.org/10.15155/repo-2

Today only small part of information available in these datasets is utilized in the aerosol research.

1. ATMEL2007A Preliminary version was presented in Pikajärve workshop 2005. Publication: Tammet, H. (2009). A joint dataset of fair-weather atmospheric electricity. Atmos. Res., 91, 194–200.

The amount of included hourly average values is about 12,000,000.

A focus for aerosol research is the subset of measurements from1 August 1972 to 31 December 1983 on Wank Peak, a.s.l. 1780 m. The measurements were arranged by the Director of the Fraunhofer Institute of Atmospheric Environment at Garmisch-Partenkirchen Dr. Reinhold Reiter.

Wank data include hourly averages of CN concentrations routinely recorded using General Electric CNC (designed by T.A. Rich) equipped with automatically commutable diffusion battery. CN concentration was recorded: 1without diffusion battery, 2with electrically neutral diffusion battery, and 3with charged diffusion battery. Other recorded quantities are concentrations of air ions, concentration of NOx, UV-radiation and total radiation, etc.

2007 July

ATMEL2007A tablemakerDataCite version of ATMEL2007A includes a new tool: the Tablemaker.It allows extract Excel tables much easier than the universal tool called the DataDiurna data manager. Additionally, all data are presented simultaneously as a DataDiurna diary and as seven large Excel tables.

EXAMPLE:

1. Prepare description of the table as a text file table_description.txt

------------------------------------- 1: Wank_78_83.xls 2: 19780101 19831231 3: -999

CNR1:cm-3@Wank CNR2:cm-3@Wank NOX:ug/m3@Wank Rad:W/m2@Wank UV:mW/m2@Wank

2. Drag table_description.txt onto the icon of ATMEL2007tablemaker.exe

Hour CNR1 CNR2 NOX Rad UV

6 955 700 1.1 0 0

7 945 695 1.1 0 0

8 960 705 1.1 0 0.12

9 1060 745 1.2 42 0.79

10 1060 755 1.1 151 2.38

11 1310 890 1.1 236 3.85

12 1825 1065 1.2 252 4.18

13 2065 1075 0.9 237 3.54

14 2050 995 0.7 196 2.24

15 1830 855 0.8 113 0.9

16 1425 685 0.9 29 0.16

17 1090 550 0.9 0 0

An excerpt from the result:

Calculate:

CN-coarse = CNR2

CN-fine = CNR1 – CNR2

UV/Rad = 1000 * UV / Rad

400

700

1000

1300

1600

1 2 3 4 5NOx, ug m-3

CN

, cm

-3 CN-fine

CN-coarse

600

900

1200

1500

1800

5 6 7 8 9 10 11 12 13 14 15 16UV/Rad

CN

, cm

-3

CN-fine

CN-coarse

2. FinEstIon2003_06

Contains air ion mobility and fine nanoparticle size distribution measurements in Hyytiälä, Tahkuse. Preliminary version of the dataset was presented in Pühajärve workshop 2007.

For DataCite repository the dataset was converted into a large Excel table Finestion.xls and accompanied witha new tool Finestractor.exe (why?)

Finestion.xls is a text file, where every data line presents measurements for a 10-minute period. All possible periods are saved without any omission for all 4 years. The number of hours during four years is (365 + 366 + 355 + 355) × 24 = 35064 and number of 10-minute periods is 210384. Thus the file consist 210385 text lines, where the first line is the header. Every line contains 273 tab-delimited words. The words of the header are the brief names of variables and the words of following lines are values of the variables.

FinEstIon2003_06 In addition to the numerical table, the dataset contains a subsetof diagrams for measurements in Tartu. Excerpt from the index:

A diagram:

3. Hyytiala08_10aerosol

Introduced in the paper Tammet, H., Kulmala, M. (2014). Empiric equations of coagulation sink of fine nanoparticles on background aerosol optimized for boreal zone. Boreal Environ. Res., 19, 115–126.

Contains results of routine measurements during 3 years of 2008–2010. The particle size range from 3 nm to 15μm is split into 60 fractions and the recordsof distribution function are presented for 21682 hours of measurements.

The dataset includes three files:Data_Hyytiala08_10aerosol.xls – a table, which contains 60 columns of the particle size distribution and 30 columns of complementary variables.

Description_Hyytiala08_10aerosol.pdf – detailed description of origin and structure the data. Additionally includes sample diagrams, which illustrate the data and may provoke new ideas for studies on atmospheric aerosol.

Package_Hyytiala08_10aerosol.zip – a compressed package, which contains both the data file and the description file. The package is to be downloaded to a personal computer, unzipped and used offline.

0.01

0.1

1

10

100

1000

10000

10 100 1000 10000d , nm

k = 0

k = 1

k = 2

k = 3

Mean size distributions dddNd

k

lgnm100

Diurnal variation

Weekly variation

4. Nanoion2010_11

Described in the paper Tammet, H., Komsaare, K., Hõrrak, U. (2014). Intermediate ions in the atmosphere. Atmos. Res., 135&136, 263–273. Includes results of a measurement campaign started at 1 April 2010 and finished at 8 November 2011.

The instrument SIGMA is described in the paper Tammet, H. (2011). Symmetric inclined grid mobility analyzer for the measurement of charged clusters and fine nanoparticles in atmospheric air.Aerosol Sci. Technol., 45, 468–479.

The author acknowledges Kaupo Komsaare for taking care of the instrument, Sander Mirme for presenting the meteorological data, and Urmas Hõrrak for general arrangements and discussions.

The high-quality measurements cover 7647 hours, which is about 54% of the full 587 day measurement period.

0

400

800

1200

0 1 2 3Z

dN/dlgZ, cm-3

positive

negative

0

20

40

60

80

0 0.1 0.2 0.3 0.4 0.5 0.6Z

dN/dlgZ, cm-3

positive

negative

Full period average

0

500

1000

1500

0 1 2 3 4 5 6 7d, nm

dN/dlgd, cm-3

positive

negative

0

20

40

60

80

0 1 2 3 4 5 6 7d, nm

dN/dlgd, cm-3

positive

negative

Full period average

Includes contour plots for 147 days, which satisfy the requirements: uninterrupted diurnal set of 288 five-minute records, no considerable disturbances and low instrumental noise.

0

3

6

9

12

15

18

4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 112010 month 2011

Per

fect

day

s

Noise: excerpt from Hyytiälä SMPS measurements(for comparison)

Hour / nm 2.9 3.4 3.9 4.5 5.2 6.0

11 0 0 0 5 36 11

12 0 0 0 3 18 6

13 0 0 7 26 62 52

14 0 0 8 21 10 8

15 98 40 0 7 44 30

16 0 0 13 35 30 30

17 0 0 8 20 2 53

18 0 21 57 82 25 38

19 49 36 29 39 76 126

20 0 0 7 38 128 185

21 0 0 3 23 96 185

22 0 16 25 23 36 113

23 0 0 0 8 50 142

Noise: excerpt from SIGMA measurements (20110318, + ions)

Hour / nm 0.49 0.65 0.87 1.16 1.54 2.05 2.74 3.65 4.87 6.50

7 493 742 1039 566 145 59 38 39 44 51

8 417 645 946 651 430 323 210 122 60 50

9 439 678 979 680 451 354 296 290 329 232

10 389 605 895 579 310 271 278 326 518 715

11 401 594 816 493 268 216 242 327 554 772

12 430 627 848 470 214 157 154 198 338 553

13 438 670 909 496 188 121 112 149 198 279

14 462 720 960 491 129 66 48 58 87 143

15 482 734 963 443 82 29 29 34 59 110

16 479 738 942 398 52 16 22 30 68 155

17 471 737 952 401 47 18 16 26 60 161

18 452 709 941 427 75 15 12 18 37 87

19 449 726 973 437 68 20 19 18 35 58

Explanation of low noise: air flow rate about 2 m3/min

Thank you for

attention!

There ain’t no such thing as a free lunch?

Take a free dataset and enjoy!