Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit303-06-20020615_103000_20020615_151500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/15 |
Start Time | | 2002/06/15 10:30 |
End Time | | 2002/06/15 15:13 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -28.29 |
Dipole Tilt, in Y-Z GSE plane, deg | | 7.73 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 139.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit303-06-20020615_103000_20020615_151500-constBx0 |
Minimum Dst Value | | -4 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEp1bCAwNiAwNzoxNTozMCBFRFQgMjAxOa4Cyr0AAAHQdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMDMtMDctMjAwMjA2MTVfMTUxNjAwXzIwMDIwNjE1XzIwMDEwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItNCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wNi0xNVQxNToxNjowMC4wMDBaIiwgIm1heCI6IjIwMDItMDYtMTVUMTk6NTk6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MDksICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoxMS4xNTYyOTk5OTk1LCAibWF4IjoxNC41Mzc3MDAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF19iyT5BAAAAARnQU1BAACvyDcFiukAACQTSURBVHic7d17cBX12cBx5JaQtHlPMCUmkkBMsdoJqTLqiAGEGFBMUbQdG1EuSm1aJSNthUTDpbQV2k5hxFHBUuw4I4KxgxktocNYaQdqZUIZ2tQgKEIIlkvAQILmYgjv82bn3Tn+9pJz2T3ZnP1+/sjs2ezub/d59uzznJM9OQMuAQAAwFED+noHAAAA4g0NFgAAgMNosAAAABxGgwUAAOAwGiwAAACH0WABAAA4jAYLAADAYTRYAAAADqPBAgAAcBgNFgAAgMNosAAAABxGgwUAAOAwGiwAAACH0WABAAA4jAYLAADAYTRYAAAADqPBAgAAcBgNFgAAgMNosAAAABxGgwUAAOAwGiwAAACH0WABAAA4jAYLAADAYTRYAAAADqPBAgAAcBgNFgAAgMNosAAAABxGgwUAAOAwGiwAAACH0WABAAA4rN83WAMG9PtDAIDYc+Pi+e67744ZM6bXLbsxdF/VAmoQrPT7M8Pq5OakBwAbblwkJ0yYsHXr1j4ZmgbLQXF5ULHX74MY7kulbdu2TZo0KSEhISMjY+7cuSdPntTmd3d3L168OBAIpKamVlRUyEP75RVWqw/4spSUFNPVt2/fXlhYmJiYKKPMnz//zJkz9pu1mh/udsT+/funTZuWnJycmZm5cePG4LhplGAGs498BBux2rLpToYbHFNxGXmnDspqZxyJvBusgnbZZZelp6eXlJQ0NjbarB7B/p84ceLRRx8dPXr0kCFDZK077rhDrhimO6PMlIlvfvObwUPI9LXXXhu8gP6rAwcO3HvvvcOHDx86dOgNN9zw+uuva/PPnTsn+zlmzJhhw4bJ6Hfffffbb7/d6z4bdybiBYzkEtfe3h790BFwuyewykJk4zq4t01NTVlZWV54r4G2TNHvwxHuNWLKlCnyAqu5ubmlpWXFihVSh7T569evHzdu3Mc9ZGLDhg32yyusVg+2Zs2aJ554wnT1qVOn1tTUtLa2njp1qrS0tLi42H6zVvPD3c7BgwflmfnKK698+umnDQ0N999/v330HLmUhJsyq50MNzim4jLyTh2U1eiORN4NVkG7ePHiJ5988tOf/nTChAk2q4e7/8ePHx81apRstr6+/vPPP5dG9q233rr99ttNd0aZKRNSpN988039V2+88YbMMTZYhw4dku7wt7/9rZwn0ru899573/nOd7RfyViPPPKILNDR0XH69OnXXnvt1ltvtd9n052JeIGIV+l3DZZNFvq8wZIWf+XKlTRYHuTdcMhJ/Pjjj6f3kAn9VZGkUDqVkSNHyqtS7eGvf/3rESNGyAuLxx57TC40+mKXvvy63ziEVKCkpCRtevz48VKTtGmZKCgosF9e0evqsmM5OTlyRe71wKWTS05Ott9sKHsbynakrj/33HM2O+OFBstqJ6MJjqn4i3yIO9PrQSmjRxn5L774YunSpdnZ2YFAQCqWNtPm+b5u3TrpYxITE2+++ea6ujpt/ttvv3399dfLTPmV1gkZn+zKbp87d27YsGEy8cMf/vCll17S52/cuFHm2O+/afwffvjhJ5980vQYrVYJ3reqqqrgIeToXn/9dePOz5o165e//KXpEHI4clBWOxA8qM1F8pJF8O0vnuGuYrxum6bV6jQIJi9OpLmRY0lJSbnnnnuamppCORz7QeUEkA3K8hIo0+O1yYLV+aY/DOVcldcAv/jFL0aPHp2amvrQQw9duHDBNG5G0tzn5ua2tbVZnW/GJ0XwBnsNptWOGZ/FxrFCKeITJ07cvHmzvsPSv2ZkZIRyVvcL3m2wJHlFRUWNPaZMmbJs2TJtvuTm7rvvltej+kNZ7HgPmfjZz36mz1cmFHKirFq1Sn9xL6eXfm7Ja0E5aeyXV/S6ujyv5OwM5cCrq6snT55sv9lehwtxO3LeS5zlhJYn2Jw5c5qbm5WNGC8ZaWlp0mXm5eWtXbu2q6srlCMKdyPK8lY7GU1wTMVf5J06KGVnooy8FCrZpY8++ujTTz9duHChNtPm+T5z5swjR47IE3DFihV6RyKh++Mf/yiXbLkiz58/33Q/g4vEiRMnysvLtTd4pMOYNGnSa6+9JtNbtmyR6c7OTvv9N72MyD5IfTI9RqtVgq9Lsldjxoz5+9//Lg937twp0zLHeOGSU+Xw4cOmQ0yfPv2+++7bvXv3559/brUbl0K4SNoE32qb4a5ivG6bptVqs8Hy8/PfeecdOWQpwwsWLPj+978f+uGYDrpkyRKJ5Cc9pk2bZnoINlnotcEK5VxdvXr1bbfd9vHHH8uT4sEHH/zJT35iGjejO++8c9OmTcYNGnfDdIO9BtNqx0yfxcpYoRTxP//5z9dee62c+dqvJD6/+tWvrA623/Fug3XVVVe9//772rS81JAmXZuW3Bw9elRfTB7qi/3nP/8JXkyZCKZ12fKS7sMPP9TmDBw4ULvICpkYNGiQ/fIK+9Xl7Ln66qvlpUavR71v376cnBz9qm21WfvhQt+OTMhz5lSPkpKSefPmKduxevFaW1srlyf9eWUv3I0oy1vtZMTBMRWXkXfqoJSdiTLyX//61/U3D3Q2z3fpjbTpzz77THsLSmRlZT377LPHjh2z2c8BXyYvweUSof3q5MmTEpmKigr5qd9YGe6ZM3jw4ODOxvhWgXEV5bcvvvjiXXfddannj32/+93vjAtoo7S1tZnuwPnz56WGfetb30pMTJQAPvHEE6Yv/Xu9SNoE3+rYw13FeN02TavVZq1IBEaOHBn64VgNeuDAAW1aVjQ9BJss9NpghXKuXnPNNR988IE2LSfkqFGj9MWC46bYsWPHTTfdpN3JF3qDZbVB02Ba7Zjps1gZK8QifuONN2o94qFDh2QHJDVWx9vveLfBkkuGfkLLhDzUpiU3yk24VospEwo5mZYvXz5x4kTtYa8vvpXllYup/eryKnnGjBnBc5TVNfIqNjs7e8+ePfqcyN4qCGs78lCblkqflpamHLXNFVZejYX45lC4GzG+X2K6kw6+gxWXkXfqoIw7E+52lLM9+Kmts3m+m+7JP//5z5kzZ15++eVjxozR/65ntbC2P5WVlcH3UMrraVlA/xtlKHFQXHHFFcZ3sPRBhwwZovyFS45LerjgxWSBjIyMV199VX7qf2VTtmPz3olOLonSOc2dO9f0LfZeL5IhBj9YuKsYr9vKb+03G0xeY0gepV3WTiq9Dw73cIKX1zNl9be2aN7BCuVclW4v+MVA8Hli86GTsWPH7tq1y3SDxt0w3WCvwbTaMdNnsTJWiEW8urr6G9/4RldX1/333y+dqOlR9FPebbBCfIUU/OJMJoyLWf3p+lJPz9Tr7SlWyyvsV7/uuut2795ttRsaacIyMzP37t0bymZthgtrOxMmTJDqrk3Lq5OwynxjY6NcdOwPKrKNKMtb7aRT92DFZeSdOijTnYky8lJmwnoHy2ZP5DL9pz/9SRod7aHyZFcWbmlp0d+02L9/v7xW3rp165VXXqm/LR3umSMNTUVFhTJTH/Taa6997733gn/1j3/8Y/To0cpiq1atGjx4sP5nEWO1njVr1sqVK+33RNPc3PzVr37VOL/Xi6RV8G0unhG8gxXKw1DewZKZL7/88tmzZ6Uky09jxMI9l0J5B8smC8GNmv7uy4kTJ8I6V6XDOHLkiM3GrYZWGJexf1L0GkyrHTN9FitjhZgIiYx0iosWLZJnh36DYHzwboMlLzf1P99Ki71kyRJtvvFJMm3aNO32Apkw3grwta99Lfhvc7Nnz5aHnZ2dx44dW7Bggf6Cb926daYfILJaXmG1+qWef/Rwyy232B/s6tWrs7Oz9Sd5r5u1mh/udjZu3PjAAw/of6gy3iWmRFuWkeeJPAckJpKdsrIy++OKbCPK8lY7GW5wTMVl5J06KKudiTLyTz/99OTJkw8fPhx890boz3c9IHLtloBI0ZJWUpupPNmD1z1z5szSpUtvvvnmSz33U8oF/W9/+5tMv/nmm9dff732lz6b/TctXUePHpWh9U8RyuG89dZb+pLPP/+8jPLXv/71fI+dO3fm5eX95je/sdngJbMG69ChQ1KV16xZI5Fpb2/fs2eP/vm1W2+99bXXXpMGXS5Qss+lpaXTp0833ab9RdIq+Eo8g4WYL6sAWj202mwwicYbb7whoZBTSEJhjFi455Isr9+Ddfvtt5segk0W9OWlI1+xYoWcXZKLu+66K6xz9ZlnnpF9ljmy2L///e/vfe979vE0slrS5klxKYRgWu2Y6bNYGSv0k0ReEMrM3//+96EcUT/i3QNoa2uTKqJ9AEEm9HcajU8S7QMyqampP/rRj4I/p6BNSLEJBAL6w6qqqvz8/KFDh2ZlZcn1SHp2bb400dJBB3qUl5frb2BaLa+wWv1Sz3sV1dXV9gdrfCHS2tpqs1mr+eFu51LPH0rS0tIketJKBt9qbfrCSItGQkKCvBaRJ4/VTQkRb8Tq1ZjpToYbHP9E3qmDstqZKCMv3cBTTz01cuRIOXapWNrM0J/v2sTmzZvltXViYqK0R++88442U3myB+/58OHDpeZ99NFHMn/OnDnaDU8a2QetwbWPg+mxNDQ0PPzww1I1Bw8efPnll99zzz3vvvuuHo0//OEPN9xww//0kImXX3651w0OMFS4Sz2fFJMty17JhejGG2/U/wPTX/7yF5kvYZQ45OTkPPbYY6YXqAG9XSStgq/EM1iI+bI6XquHVpsNJi9ZJfVDhgyRVxHPPvusMWLhnkuywA9+8AMJjoTo5z//uWzZ9BCssqBvR14CSQevfVrwhRdeCOtcvXjxohzLNddcI89x6cv1kmEVTyOrJY1PiuDf9hpMqx0zfRYrY4V+kkgwx4wZ88UXX4RyRP1Ivz8AAICNOChUMfOvf/1LWtW+3os+1tXVJS8YYjnijBkzXn311ViOGBs88QAgntFg9WrhwoUnTpw4evTobbfd9uMf/7ivd6eP1dbW6p8WdNvFixdffPHFsWPH6v+pIZ7wxEO0jH+Q8uAFvV/sZLji8qDgOM6KXj3zzDMjR44cMWLEI488Ek//JiAyX/nKV1544YXYjCUn5+jRo6Wli81wMcYTDwAAwGE0WAAAAA6jwQIAAHAYDRYAAIDDaLAAAAAc1gcNls3HnZqamrKysmz+VR2flgIAAN7XZ22KaYf06KOPrly5MsT/BRzucAAAwD0R1+i45KEGq76+Pjc31+rLzE1XiWY4AADgFOqswkMN1p133rlp0ybTX+mrpKWlJSUl5eXlrV27tqurK5rhAACAU6izCq80WDt27Ljpppu0b1e1T1J7e3ttbW1BQYH+Dd7B2+StSwAAYo86q/BKgzV27Nhdu3aZ/spUQ0NDIBCIeDgAAOAg6qzCKw1WuG84NTY2pqenRzwcAABwEHVW4ZUGy+ZX+sOSkpK6urqOjo76+vqioqKysjJHhgMAAFGizir68v9gWb1TZdVgVVVV5efnJyQk5ObmVlZWtrW1hTVoNPsMAABsUGcV8RwObnIHACA2qLMKv4SDxAMA4B7qrMIv4SDxAAC4hzqr8Es4SDwAAO6hzir8Eg4SDwCAe6izingOBze5AwAQG9RZhV/CQeIBAHAPdVbhl3CQeAAA3EOdVfglHCQeAAD3UGcVfgkHiQcAwD3UWYVfwkHiAQBwD3VWEc/h4FOEAADEBnVW4ZdwkHgAANxDnVX4JRwkHgAA91BnFX4JB4kHAMA91FmFX8JB4gEAcA91VhHP4eAmdwAAYoM6q/BLOEg8AADuoc4q+iAcNm8pNTU1ZWVlWSWpu7t78eLFgUAgNTW1oqJCHoY1aIS7CwAAekOdVfRZOEwz8eijj65cudIqSevXrx83btzHPWRiw4YNUQ4HAAAcQZ1VeKjBqq+vz83NbWtrs0rS+PHja2pqtGmZKCgoiGY4AADgFOqswkMN1p133rlp0ybTX2lSUlKampq06dOnTwcCgWiGAwAATqHOKrzSYO3YseOmm27SbquyStLAgQM7Ozu1aZkYNGiQcZs2XDgIAADwf6izCq80WGPHjt21a5fpr3S8gwUAgDdRZxVeabBCecOJe7AAAPAm6qzCKw2Wza/0h+vWreNThAAAeBB1VtGX/wfL6p0qqwaru7t70aJFgR7l5eX8HywAADyCOquI53BwkzsAALFBnVX4JRwkHgAA91BnFX4JB4kHAMA91FmFX8JB4gEAcA91VuGXcJB4AADcQ51VxHM4uMkdAIDYoM4q/BIOEg8AgHuoswq/hIPEAwDgHuqswi/hIPEAALiHOqvwSzhIPAAA7qHOKvwSDhIPAIB7qLOKeA4HnyIEACA2qLMKv4SDxAMA4B7qrMIv4SDxAAC4hzqr8Es4SDwAAO6hzir8Eg4SDwCAe6izingOBze5AwAQG9RZhV/CQeIBAHAPdVbRB+EwfUtp27ZtkyZNSkhIyMjImDt37smTJ21WjOAdKRIPAIB7qLOKPguHkokpU6Zs3bq1ubm5paVlxYoVhYWFva4SzXAAAMBB1FmFVxqsYK2trUlJSWGtEs1wAAAgStRZhecarAsXLqxataq4uNh0lbS0NOm98vLy1q5d29XVFf1wAAAgetRZhbcaLO3mqhEjRnz44YdWK7a3t9fW1hYUFCxcuNB0dSsOHwAAAPh/1FmFtxoscf78+eXLl0+cONF+9YaGhkAgEP1wAAAgetRZhecarEs9PVZycrL96o2Njenp6Y4MBwAAokSdVXilwZo9e3Z9fX1nZ+exY8cWLFgQfA+WvmRJSUldXV1HR4csWVRUVFZWFvFwAADAQdRZRV/+H6zgW6Oqqqry8/OHDh2alZVVWlp69uzZ4OWDl0lISMjNza2srGxrawtrUAcPAQAABKPOKuI5HNzkDgBAbFBnFX4JB4kHAMA91FmFX8JB4gEAcA91VuGXcJB4AADcQ51V+CUcJB4AAPdQZxXxHA5ucgcAIDaoswq/hIPEAwDgHuqswi/hIPEAALiHOqvwSzhIPAAA7qHOKvwSDhIPAIB7qLMKv4SDxAMA4B7qrCKew8GnCAEAiA3qrMIv4SDxAAC4hzqr8Es4SDwAAO6hzir8Eg4SDwCAe6izCr+Eg8QDAOAe6qwinsPBTe4AAMQGdVbhl3CQeAAA3EOdVfRBOEzfUtq2bdukSZMSEhIyMjLmzp178uRJ44rd3d2LFy8OBAKpqakVFRXyMKxBo91vAABggTqr6LNwKJmYMmXK1q1bm5ubW1paVqxYUVhYaFxl/fr148aN+7iHTGzYsCHi4QAAgIOoswqvNFjBWltbk5KSjPPHjx9fU1OjTctEQUGBI8MBAIAoUWcVkYejra1tyZIlubm5iYmJ8nPZsmXt7e1hDGyRiQsXLqxataq4uNj4q5SUlKamJm369OnTgUAg+uEAAED0qLOKyMNRVlZWWFhYV1cnnZb8nDJlyuOPPx7GwGaZ0O7NGjFixIcffmj87cCBAzs7O7VpmRg0aJDp6lZC3zcAABAW6qwi8nCkp6c3NjbqD2Va5oQxsEUmzp8/v3z58okTJxp/xTtYAAB4E3VW4bkG61JPj5WcnGyczz1YAAB4E3VWEdWfCIuKit5///22tjb5KdPR/Ilw9uzZ9fX1nZ2dx44dW7BgQfA9WPqS69at41OEAAB4EHVWEdVN7pWVlVdddVViYqL8XLp0aYg3uZveGlVVVZWfnz906NCsrKzS0tKzZ88GL69NdHd3L1q0KNCjvLyc/4MFAIBHUGcV8RwObnIHACA2qLMKv4SDxAMA4B7qrCLycNTV1RUUFAwbNqxfvEvk5X0DAKC/o84qIg/HzTffvGLFis8++8zBvXEPiQcAwD3UWUXk4UhMTLxw4YKDu+IqEg8AgHuos4rIwzFq1KgjR444tyfuIvEAALiHOquIPBwvvPDCzJkzT5w44eDeOItPEQIAEBvUWUV44bD/sj8vB9fL+wYAQH9HnVX4JRwkHgAA91BnFZGH47LLLnNwP9xG4gEAcA91VhF5OK688sr//ve/Du6Kq0g8AADuoc4qIg/HmjVr7r333qNHj4b1nYCx1F/uDwMAoL+jzioiDwc3uQMAAA11VuGXcJB4AADcQ51V+CUcJB4AAPdQZxV+CQeJBwDAPdRZRTyHo7/cHwYAQH9HnVX4JRwkHgAA91BnFX0QDtO3lLZv315YWJiYmJiRkTF//vwzZ87YrBjBO1IkHgAA91BnFX0WDiUTU6dOrampaW1tPXXqVGlpaXFxca+rRDMcAABwEHVW4ZUGK1hLS0tycnJYq0QzHAAAiBJ1VuHFBqu6unry5Mmmq6SlpSUlJeXl5a1du7arq8uR4QAAQJSoswrPNVj79u3Lyck5ePCg1Yrt7e21tbUFBQULFy40btOGk3sPAACCUGcV3mqwdu7cmZ2dvWfPnl5Xb2hoCAQCUQ4HAAAcQZ1VeKjB2rJlS2Zm5t69e0NZvbGxMT09PZrhAACAU6izCq80WKtXr87Ozj5w4IDNkiUlJXV1dR0dHfX19UVFRWVlZREPBwAAHESdVfTl/8EKvjXKeMtUa2ur/ittoqqqKj8/PyEhITc3t7Kysq2tLaxBnT0KAACgo84q4jkc3OQOAEBsUGcVfgkHiQcAwD3UWYVfwkHiAQBwD3VW4ZdwkHgAANxDnVX4JRwkHgAA91BnFX4JB4kHAMA91FlFPIeDTxECABAb1FmFX8JB4gEAcA91VuGXcJB4AADcQ51V+CUcJB4AAPdQZxV+CQeJBwDAPdRZRTyHg5vcAQCIDeqswi/hIPEAALiHOqvwSzhIPAAA7qHOKvwSDhIPAIB7qLMKv4SDxAMA4B7qrCKew8FN7gAAxAZ1VuGXcJB4AADcQ51V9EE4TN9S2r59e2FhYWJiYkZGxvz588+cOWNcsbu7e/HixYFAIDU1taKiQh6GNWi0+w0AACxQZxV9Fg4lE1OnTq2pqWltbT116lRpaWlxcbFxlfXr148bN+7jHjKxYcOGiIcDAAAOos4qvNJgBWtpaUlOTjbOHz9+vDRh2rRMFBQUODIcAACIEnVW4cUGq7q6evLkycb5KSkpTU1N2vTp06cDgYAjwwEAgChRZxWea7D27duXk5Nz8OBB468GDhzY2dmpTcvEoEGDjNu04ez+AwAAHXVW4a0Ga+fOndnZ2Xv27DFdhXewAADwJuqswkMN1pYtWzIzM/fu3Wu1CvdgAQDgTdRZhVcarNWrV2dnZx84cMBmyXXr1vEpQgAAPIg6q+jL/4MVfGuU8Zap1tZW/VfaRHd396JFiwI9ysvL+T9YAAB4BHVWEc/h4CZ3AABigzqr8Es4SDwAAO6hzir8Eg4SDwCAe6izCr+Eg8QDAOAe6qzCL+Eg8QAAuIc6q/BLOEg8AADuoc4q4jkcfIoQAIDYoM4q/BIOEg8AgHuoswq/hIPEAwDgHuqswi/hIPEAALiHOqvwSzhIPAAA7qHOKuI5HNzkDgBAbFBnFX4JB4kHAMA91FmFX8JB4gEAcA91VuGXcJB4AADcQ51V+CUcJB4AAPdQZxXxHA5ucgcAIDaoswq/hIPEAwDgHuqsog/CYfWWUq9vNUXzjhSJBwDAPdRZRZ+FwyoT9g2W48MBAIDoUWcVNFgAACBa1FlFP2uw0tLSkpKS8vLy1q5d29XVFf1wAAAgetRZRX9qsDTt7e21tbUFBQULFy40rmvDmf0GAAAG1FlF/2uwNA0NDYFAIPrhAABA9Kiziv7aYDU2Nqanp0c/HAAAiB51VtEPGix9TklJSV1dXUdHR319fVFRUVlZWfTDAQCA6FFnFX35f7CUW6Ns5msTVVVV+fn5CQkJubm5lZWVbW1tYQ3q1P4DAAAFdVYRz+HgJncAAGKDOqvwSzhIPAAA7qHOKvwSDhIPAIB7qLMKv4SDxAMA4B7qrMIv4SDxAAC4hzqr8Es4SDwAAO6hziriORx8ihAAgNigzir8Eg4SDwCAe6izCr+Eg8QDAOAe6qzCL+Eg8QAAuIc6q/BLOEg8AADuoc4q4jkc3OQOAEBsUGcVfgkHiQcAwD3UWYVfwkHiAQBwD3VW4ZdwDAAAAG7q61LvLYTDGTE4sWJz7sbHgRArr43CgXhtFA7EU0PEZhQaoBgj3M6Im+dGfBwIsfLaKByI10bhQDw1RGxGocGKMcLtjLh5bsTHgRArr43CgXhtFA7EU0PEZhQarBgj3M6Im+dGfBwIsfLaKByI10bhQDw1RGxGocGKMcKNL+EZ6Cmkw2vIiNeQEXgWpya+hKuVp5AOryEjXkNG4FmcmvgSrlaeQjq8hox4DRmBZ3Fq4ku4WnkK6fAaMuI1ZASexamJL+Fq5Smkw2vIiNeQEXgWpyYAAIDDaLAAAAAcRoMFAADgMBosAAAAh9FgAQAAOIwGCwAAwGE0WAAAAA6jwYpzA/6fMn///v3Tpk1LTk7OzMzcuHGjccXu7u7FixcHAoHU1NSKigp5aD8foTBNx4AvS0lJMa5IOlximpHDhw9/+9vfDvSQCXloXJGMuMQ0I83NzXPmzBk+fHhaWtry5ctNVyQj8BoaLF9QrlYHDx7Mysp65ZVXPv3004aGhvvvv9+4yvr168eNG/dxD5nYsGGD/XyEzuZfI65Zs+aJJ54wzicdrlIyMn78+MrKyuYeTz75pDw0rkJGXKVkZN68eSUlJSd73HfffS+99JJxFTICr6HB8gXlaiUd1XPPPWe/pBSVmpoabVomCgoK7OcjdFYNVkdHR05OzvHjx41Lkg5XKRlJSkpqaWnRps+fPy8PjUuSEVcpGbn88stPnTqlTUuPNWHCBOOSZAReQ4PlC8rVKj09fenSpRkZGcOHD58zZ468TDcumZKS0tTUpE2fPn06EAjYz0forBoseW390EMPmS5JOlylZOS73/3usmXLzp07J0+NJUuWyEPjkmTEVcYGS4KpTUunFRxVMgLPosHyBeVqNWjQoAcffPBUj5KSknnz5hlXGThwYGdnpzYtE7KK/XyEzrTBunjx4tVXX11fX2+6CulwlZKR48ePjxo1SrsTSCY++eQT4ypkxFVKRmbPnv3AAw9ol6xZs2YNHjzYuAoZgdfQYPmCcrWSl3TBLwfT0tKMq/By0D2mDdaWLVtmzJhhtQrpcJWSkaKioieffFK/B0seGlchI65SMnL27Fnpq1JTU9PT059++ukrrrjCuAoZgdfQYPmCcrWaMGFC8A0Npg0WNzS4x7TBuu6663bv3m21CulwlZKRYcOGWd2DpSMjrrL5IMjzzz8vzZZxPhmB19Bg+YJytdq4caP+fntJSUnwfT/6kuvWrTP96I3VfITOWDy2bdt2yy232CxJOlxl/BThkiVLtHewnnrqqeCSTEZiQ8mIXK8aGxslHZs3b87Kyvrggw+MS5IReA0NVpxT/seSPn/ZsmVpaWmpqamzZ882vcm9u7t70aJF2r8CKi8vD/6nMqbzEQqrdEyYMKG6utp0eW2CdLjENCOHDh264447/qfH9OnTP/roo+DltQky4hLTjMhrwszMzKSkpKlTp+7bt09ZXpsgI/AaGiwAAACH0WABAAA4jAYLAADAYTRYAAAADqPBimfbt28vLCxMTEzMyMiYP3/+mTNntPnhfiuq1XYUNl+q2ut3S2tMv+fV6sZwAAA8i3IVz6ZOnVpTU9Pa2nrq1KnS0tLi4mJtfrjfimq1HYXV6qF8t3QwY4MVcQQAAOgTlC6/aGlpSU5O1qaj+Y98wdtRWK1u893SpmiwAAD9HaXLL6qrqydPnqxNR/OdEsHbUVitbvPd0qaMDVZaWlpSUlJeXt7atWu7urp6PVgAAPoWDZYv7Nu3Lycn5+DBg9rDiL8VVdmOwmr1UL5bOpjpW1bt7e21tbUFBQULFy60Xx0AgD5HgxX/du7cmZ2dvWfPHn1OZO9gGbej3Hhus1nT75a2um/d5m+CDQ0NfFcrAMD7aLDi3JYtWzIzM/fu3Rs8M4J7sEy3o7BaPZTvlg5m02A1Njamp6fbrw4AQJ+jwYpnq1evzs7OPnDggDI/3G9FtdpOiJu1+W5pU0qDJavU1dV1dHTU19cXFRWVlZWFePgAAPQVGqx4NsCgtbX1Uvjfimq1HYXNl6pafbe0/Q5rM6uqqvLz8xMSEnJzcysrK9va2pyKDwAALqHBAgAAcBgNFgAAgMNosAAAABxGgwUAAOAwGiwAAACH0WABAAA4jAYLAADAYTRYAAAADqPBAgAAcBgNFgAAgMNosAAAABxGgwUAAOAwGiwAAACH0WABAAA4jAYLAADAYTRYAAAADqPBAgAAcBgNFgAAgMNosAAAABxGgwUAAOAwGiwAAACH0WABAAA4jAYLAADAYTRYAAAADqPBAgAAcBgNFgAAgMP+F3IUpVw2E/rZAAAAAElFTkSuQmCC)
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