Report on WP5 – Deliverable 5.4.1 IZMIRAN Hourly CR variations and their pitch angle and longitude distributions E. Eroshenko, A. Belov, A. Asipenka, V. Yanke IZMIRAN, June 30, 2009 1 Document information Project Project acronym: Project full title: Grant agreement no: Funding scheme: Project start date: Project duration: Call topic: NMDB Real-time database for high resolution Neutron Monitor measurements 213007 Combination of Collaborative Projects & Coordination and Support Actions 01.01.2008 24 months INFRA-2007-1.2.1 Scientific Digital Repositories Project web-site: www.nmdb.eu Deliverable Report: WP5.4.1 Period Covered: Actual Submission Date: Editors: Authors: IZMIRAN 01.01.08 – 30.06.2009 30.06.2009 E. Eroshenko, V. Yanke A. Belov, A. Asipenka, E. Eroshenko, V. Yanke Final 10 Real time longitudinal distribution, precursors Draft/Final : No of pages (including cover) Keywords: 2 Contents 1. Introduction 2. 3 ………… 4 Data and Station Ring method 2.1. NMDB data usage……………………………………………………….5 2.1.1. Neutron monitor data downloading …. …6 2.2. Other sources data usage ....6 3. Description of the site of internet project 6 3.1. The CR variation distribution by asymptotic longitudes and examples of precursors by retrospective data 7 3.2. Asymptotic distribution by real time data from NMDB 8 4. Summary 9 5.4.1 Hourly CR variations and their pitch angle and longitude distributions (IZMIRAN, NKUA, Kosice, TAU) Month 18 This part is very important for searching for the precursors of Forbush effects and geomagnetic storms by the data of world wide NM network, using the method of “station ring”. 1. INTRODUCTION. The galactic cosmic rays (GCR) interact with transients moving in the space toward the Earth. Due to their high speed they might provide the information about coming disturbed region well advance its arriving to Earth. Existence of so-called ‘precursors’ in the CR registered by ground detectors, was supposed almost from the very beginning of continuous CR registration by a network of stations. Later it has been detected in the data of neutron monitors before the beginning of strong magnetic storms and large Forbush effects, and since that time a detailed researches of those effects started. Precursor effect consists of combination of two kinds of galactic CR variations: pre-decrease and pre-increase, on a miscellaneous distributed by various CR stations at the same time before the shock arrival. Precursory decreases apparently result from a “loss-cone” effect, in which a neutron monitor station is magnetically connected to the cosmic ray-depleted region downstream the shock (Fig.1). Pre-increase is usually caused by particles reflecting from the approaching shock. The many of predictors have a peculiar longitude (or, pitch-angle) dependence of CR intensity with the abrupt transfer from minimum to maximum of CR variations which cannot be fitted by the sum of only the first two harmonics. 3 Intensity deficit confined in a cone Figure 1. Illustration of “loss cone” effect in cosmic ray variations observable at Earth. These sharp transfers occur most probably within the 140-180and 270310longitude regions, near the usual direction of the magnetic field line (sunwards and anti-sunward). These anomalies are most often observed in the last hours before shock arrival, typically within 4 hours. However, they sometimes span a longer period, and persist downstream of the shock. The NMN is a good tool for detecting such anomalies in the pitchangle or longitudinal distribution. At present, when data of many stations are accessible in real time, it would be desirable to search such anomalies in real time mode and use this information in the short time forecasting of geomagnetic activity. Precursory effect is very anisotropic, thus the sky coverage in the asymptotic directions of the stations used, should be as full as possible, otherwise we can miss any precursor. In Fig. 2, 2a the longitudinal distributions of the observed CR variations in the event on September 1992 are presented by the full number of neutron monitor network and calculated for a limited numbers as well. It is seen that we lose very strong precursor if the number of stations is limited within very narrow longitude range. In the Bartol Research Institute the system of real time monitoring of the precursors is created on the base of pitch angle distribution http://neutronm.bartol.udel.edu//spaceweather/. They use a limited number of stations (only 9) but distributed homogeneously by longitudes (Spaceship Earth). The system is working well but it depends on the reliability of all station operating (break at one station create a gap in the scanning of ~500 of celestial sphere) and on a persistence of interplanetary magnetic field (IMF) data which are used for pitch angle calculations. IZMIRAN offers another approach based on the distribution of CR variation by asymptotic longitudes. It is defined from the ‘ring station method’, and this procedure is more easy and reliable, and not less informative. Creation of NMDB in the frame of EC FP7 project “Real time neutron monitor database with short time resolution” allows the use hourly data from many stations (about 23 at present) for constructing and plotting asymptotic longitudinal distribution of the CR variations at any time. This application is realized in the IZMIRAN and located by the addresses http://cr0.izmiran.ru/PrecurcorMonitoring/index.htm and http://www.nmdb.eu/?q=node/19, PRECUROR MONITORING so far. Four Teams participated in developing of this Application. The main contribution is made by IZMIRAN. TAU did help with elaboration of the algorithm fitted to real time data. Kosice contributed with a creation of web page of Internet project. NKUA tested the software and using the results for analysis on the retrospective data. 4 2. DATA AND STATION RING METHOD For searching and study of precursory effects hourly data from NM network are usually used in the Ring Station (RS) method. It is preferable to use stations with cutoff rigidity Rc<4 GV and homogeneously distributed by the ring around the globe (Station Ring method), but we elaborated the simplified version specially for real time data allowing the use also of stations with higher rigidities (Rome, Athens, Almaty, Jungfraujoch) from NMDB. Shift of the effective position of station from its geographic longitude because of the Earth magnetic field was taken into account by using the coupling coefficients [6] for the flat rigidity spectrum of the first harmonic up to 100 GV. Thus, at each hour we can plot a distribution of CR variations by the asymptotic longitudes. This method provides obtaining of different than harmonic longitudinal distribution of CR intensity and it is less depended on an uncertainty of the model of isotropic and anisotropic variations. Fig. 2. Distribution of CR variations by the asymptotic longitudes of different stations (black circlesdecrease, grey- increase of CR variations) before the shock arrival (vertical line) in September 1992. This picture is plotted by 45 world wide network stations and shows clearly pronounced pre-decrease at the stations viewing along IMF force line (around 1350). Fig. 2ab. The same event but plotted only by European stations (left side) and by European + Russian NMS (right side). Precursory effect is very anisotropic, thus the sky coverage in the asymptotic directions of the stations, should be as full as possible, otherwise we can miss any precursor. In Fig. 2 the longitudinal distributions of the observed CR variations in the event on September 1992 are plotted by the full number of neutron monitors, and by the limited numbers as well. It is seen 5 that we lose very strong precursor if number of stations is ranged within very narrow longitude belt. 2.1. NMDB data usage This fact makes it incumbent to use data from the stations distributed by the globe with overlapping of the celestial sphere by the asymptotic directions. We included for use hourly data from NMDB for the stations: Almaty, Apatity, Athens, Baksan, NorAmberd, Aragats, ESOI, Irkutsk, Irkutsk2, Jungfraujoch (IGY and 3NM64), Kerguelen, Kiel, Lomnitsky Stit, Magadan, Moscow, Mirny, Novosibirsk, Oulu, Rome, Terre Adelie, Tixie Bay, Yakutsk. Some of them still are not ready for continues quality data presenting (NorAmberd, Aragats, Esoi, Kiel, Novosibirsk), but we hope, this is a question of the nearest future. 2.1.1. Neutron monitor data downloading Special scripts were elaborated to get real time hourly data from NMDB. The procedure of data downloading from the NMDB is present by the address: http://cosmicrays.oulu.fi/nmdbinfo/?q=node/35 in the attached file ‘Read-writeIZMIRAN.pdf’. But we should remember that real time data at some stations have not been subjected to rigorous quality control; it may contain "glitches" that produce false alarms or fail to detect true space weather disturbances. 2.2. Other sources data usage Neutron monitor hourly data from the western stations (Forth Smith, Pewanyuk, Newark, McMurdo, Thule) are also used (from USA, Bartol group: http://neutronm.bartol.udel.edu/) to complete scanning of celestial sphere. All data are retrieved into the local DB (http://cr0.izmiran.rssi.ru/common/All_CR_stations_H.htm) which is implicated in different Applications. There are also relevant data on the solar wind and geomagnetic activity (http://cr20.izmiran.ru/sw/main.htm) which would be necessary for further analysis. 3. Description of the site of internet project The interface of Internet project for plotting a distribution of hourly CR variations at any moment 0 http://cr0.izmiran.ru/PrecurcorMonitoring/index.htm), or, http://www.nmdb.eu/?q=node/19, PRECUROR MONITORING, is shown in Fig. 3. Some explanations to this site: “Monitoring (NM Network) Precursors Retro and Real Time” This line opens a picture “Monitoring of CR anisotropy”, where one can see asymptotic longitudinal distribution of CR variations for the current hour. It is possible to get such a distribution for any time interval selecting it and base period in the table ‘PARAMETERS” on this site. “Data for precursor analysis for last period” Digital Plot Data Plot Variations Clicking this line you can look data from all stations (separately and altogether) used at a current moment in digital and graphic forms that gives a chance for brief control of data quality at different stations. 6 Fig.3. Presentation of the software for plotting hourly CR variations by the asymptotic longitudes and demonstration of the magnetic storm precursors. There are also the lines to access the Bartol Space Weather site (for comparing) and relevant data on the solar and geomagnetic activity (for analysis in the case). 3.1. Longitudinal distribution of the CR variations obtained by retrospective data and examples of precursors Elaborated software can provide also graphic presentation of longitudinal distribution of the CR variations for any selected period by the retrospective data which also can be taken from NMDB. Below some examples are presented which demonstrate features of application and possibility of a method of ring stations. Fig. 4. Asymptotic longitude distribution of CR variations before the Forbush effect (FE) and magnetic storm (SSC-vertical line) in August 1979. Size of circles correspond to the magnitude of CR variation relatively to quiet period: yellow- increase, red-decrease. In this case a loss cone effect is well indicated in the longitudinal-time distribution of the CR variations. One can see a decrease within the narrow longitudinal sector along the 7 average direction of the IMF (~1300 ) during ~11 hours before the shock. This peculiar distribution is evidently a precursor of a large FE, which most probably was much greater to the west of Sun-Earth line than that observed near Earth. This is an evidence of the strong magnetic fields in the solar wind disturbance which the Earth entered that time, and caused by this a possibility of the strong magnetic storm evolving. In that moment Kp index was 5-, but in 10 hours it really reached the level 8 (severe magnetic storm). Fig. 5. Well know GLE occurred on June 15, 1991 on the background of the strong geomagnetic storm. Vertical lines mean SSC (moment of shock arrival), circles correspond to the increased (yellow) and decreased (red) CR variations. In this figure the well known period in the mid of June 1991 is shown, when in the neutron monitor data both an increase of solar CR and very large decrease of galactic CR were observed. However, there is a quiet period also in the very beginning (0-5 hours) where usual first harmonic of CR anisotropy is seen in a longitudinal distribution. Fig.6. Distribution of the CR variations by the asymptotic longitudes obtained from the neutron monitor network data by the ring station method for the event in December 2006. 8 There is a series of FEs in December 2006 started after arriving of the interplanetary shock and SSC on December 8. On this background the enhancement of solar cosmic rays (GLE) on December 13 stands out. One can see that the onset of GLE at the NMs collected CR from the western directions, started earlier and was more significant than those recorded within other longitudinal zones. These examples demonstrate some properties of longitude-time distribution of the CR variations and possibility of this method usage for diagnostics of the interplanetary and near Earth space. 3.2. Asymptotic distribution by real time data from NMDB Fig. 7. When you click “Monitoring (NM Network) Precursors Retro and Real Time” on the site in fig. 3 illustrated, the picture of longitude-time distribution of CR variation in real time should appear on the screen. This distribution is plotted for the current hour, and CR variations are automatically calculated relatively the first hour in current day. But you may choose any other period for base and for distribution plotting (division ‘Prameters’). You may look digital CR variations for all implemented stations at considered time clicking “Digit”. During last years no one large FE or strong magnetic storm occurred, so we could not observe any precursor in real time, we see quiet picture of distribution corresponding to usual daily variation. But we are ready to register the events when disturbances appear. IV. CONCLUSIONS Creation of NMDB in the frame of EC FP7 project “Real time neutron monitor database with short time resolution” allows the use hourly data from many stations (about 23 at present) for constructing and plotting asymptotic longitudinal distribution of the CR 9 variations at any time. This application is realized in IZMIRAN and located by the address http://cr0.izmiran.ru/PrecurcorMonitoring/index.htm so far. Using mentioned above events as the examples (actually we considered much more events) it can be argued that majority of FDs have the predictors revealed itself by different way in the CR behaviour some hours before the FD onset. The ”station ring” method gives a good possibility to detect and study these predictors by NMs data and investigate the structure of transients and character of their moving. Another kind of studies which has never been carried out yet is the structure and propagating transient from the coronal holes. Now, with a creation of real time nmdb database there is a chance to make precursor monitoring in real time and investigate both sporadic and recurrent solar-terrestrial events. Creation of NMDB in the frame of EC FP7 project “Real time neutron monitor database with short time resolution” allows the use hourly data from many stations (about 23 at present) for constructing and plotting asymptotic longitudinal distribution of the CR variations at any time. This application is realized in IZMIRAN and located by the addresses http://cr0.izmiran.ru/PrecurcorMonitoring/index.htm and http://www.nmdb.eu/?q=node/19, PRECUROR MONITORING so far. 10