Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: James_Lane_072720_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
Cluster-1 | | | | - | Cluster-2 | | | | - | Cluster-3 | | | | - | Cluster-4 | | | | - | GOES-8 | | | | - | GOES-9 | | | | - | GOES-10 | | | | - | GOES-11 | | | | B plot | GOES-12 | | | | B plot | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | - | Wind | | | | B plot |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | October 12, 2006 |
Start Time | | 2006/10/12 00:29 |
End Time | | 2006/10/12 00:33 |
Key Words | | duskdawnmagnetotailuntwisting |
Model | | OpenGGCM |
Model Version | | 4.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -12.35 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 73.30000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | James_Lane_072720_1 |
Minimum Dst Value | | 0 |
SW Source | | ACE-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU3VuIEZlYiAwNyAxMToxOToyMyBFU1QgMjAyMT6U6V0AAAGrdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiSmFtZXNfTGFuZV8wNzI3MjBfMTogT3BlbkdHQ00gcGxvdCBvZiByaG8gYWxvbmcgSU1QLTggdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDYtMTAtMTJUMDA6Mjk6MDAuMDAwWiIsICJtYXgiOiIyMDA2LTEwLTEyVDAwOjMzOjAwLjAwMFoiLCAibGVmdCI6OTEsICJyaWdodCI6NzIyLCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6Ny4zNzIxNDk5OTk1LCAibWF4Ijo3LjM4NDI1MDAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX3CSu64AAAABGdBTUEAAK/INwWK6QAALs5JREFUeJzt3X9IXGf2+PHsJjK6jagQRIoEcVNiaYqRDUGCyCBCLCa0xRQkBHFFQqQNWDZLRcK6GEkCsgwhBFm2aCB/ZNkgUvKHK4KWuKyQLEiRIkXEsAkx2JIgUoYgks/5+rD3O50fd57RO3Nn5rxff8id6/3xnHtm5jlz55l7970FAACAp/b53QAAAIB8Q4EFAADgMQosAAAAj1FgAQAAeIwCCwAAwGMUWAAAAB6jwAIAAPAYBRYAAIDHKLAAAAA8RoEFAADgMQosAAAAj1FgAQAAeIwCCwAAwGMUWAAAAB6jwAIAAPAYBRYAAIDHKLAAAAA8RoEFAADgMQosAAAAj1FgAQAAeIwCCwAAwGMUWAAAAB6jwAIAAPAYBRYAAIDHKLAAAAA8RoEFAADgMQosAAAAj1FgAQAAeIwCCwAAwGMUWAAAAB6jwAKg1L593r8BPnr0qLKyMumW07HrdGwTwK7xggSgVDoqkvr6+m+//daXXVNgGRwHZAmeiLCVPW9bvrTk6tWr7+zo7++PbEmkkpISM39mZqapqSkQCBQXF3d1da2vr+9u+UT7TcTZsmVQi4uLra2tRTs++ugjeWi5Ykpevnx5+fLlysrKgoICCUT2ODU1ZfnfH3744dNPP5X58l+pXSYmJsx8ibG2tjZqR3V1dSk9N9JxnkmS6MmudyGtrwtn40mPvPMklCdVe3t75JM50tOnT53nnkysrKy47DQDsuf9DXmDpxRsZc8bUOZb8vXXXzc2Nv60IxgMysPYZUKhkFMDSYcxPT29vb0dDoe//PJLKZ52t7zNfmNZHh+pXSoqKmSbWztGR0fLy8uXl5dt1rUn9dPhw4dv3rwpIcjDN2/eTE5OSrw2/5VOV/4rLZT58nBhYeH8+fNOjFJvyUFzdiQryhzfCyzLVXK6wHI/8s7ExsaGfFpoa2uLu0Gp0q5fv26ee0NDQ1Kiuew0A7Ln/Q15g6cUbDlvQM+fP5c3TfncWVBQ8NFHH0Wenrlz5470iDL/gw8++Ne//iV9dnV1tTyUd8/vv//e2ZQUFmVlZfJZX/rLzc1NM1Pepj/88EOZWVVVJSvatCSSS6ukhzatkmZ899137s2IS6oc53sfmWhoaIhaQGojiVTKhdh15V+y690tn3S/ccUen7hHrLOz89atW5Fz5KHMdFb5y1/+IiWXHB+ZKZWfs1jc45boOPf09Mh2EjXV/b+yX3lGJYrx4cOHUnQ6c+TgfPPNN3EjTRSLs7DMkZaYM4UyYRaIPNcYu81UV5E5t2/flop2//79bxMfrribjeLyVHffSKKdSv0qh0UOjhyi4eHhRMfQ8shHrv7zzz8nOqVnjoMjdrHYgxl1DJMeh7eJX+NfffVVSUlJcXGxbDDuvlyOodMGOQj/+Mc/nG2+ePHi3XffdX8ngSoUWLDlvPVI8fTvf/9b6gD56CnvU5Fdcnt7uxQN8i/pquXNOvLhqVOnzGJ//vOfP/74459++klW7+7uvnz5spl/6NAh87FY3iidme4tieTSKnlvld3Jv6SXPXnypHsz4pI3cVndTMuEPIxaQCpCeReOu64UjrFnsCyXT7rfuCwLLOl4Xr16FTlnY2PD+dZSVvn00083dsiEHFIzP9FxS3ScJa1Re4nk/l9pjOzdJcajR4/+5z//kQlJvUwnijRRLM7Cf/zjHyUoZwF5GLVArFRXkfkdHR2R9Wjcw5Vos5FcnupJ2xZ3p7IRWUzaJstLyZK0wHrreuQtCyzZ0dDQ0PaOwcHBuCe6oloSdQyTHodEz9U//elPUpDJfKksY58MSY+h04ZHjx7JZ0Jnlc8//1zK07jBQicKLNiK+7Yr727yKdBZwHnvk/lRD52zMpWVlf/973/NtLz/Oj26fLCWj4byKXB3LXFplfPp06YZNnuMPSMlfczS0lLsiouLi9INPH36dHfLJ92vTWtTWszZhfzXOT7SHvnIbqYTHbdExzmqzVHnCVL6b2zjR0ZGPvvsM5k4e/asOeuZqDiIG4uzsMxxjrlMyGeDqAVipbqKzDdfgzoP4x6uRJtNJOqpnrRtiXb6/PlzMy0TNgWWy5F3Jty/IpQdVVVVmXTLRNyzubEFVuQxTHocEj1X33333diXZNS+XI5hZBvq6+v//ve/v/3f19nmu2zAoMCCLecNSD41NjY2FhUVmTdH51R/7Lth3If7fslZ/bvvvpO3bHkTlOJjcnLSpiWRUm1VombE5X4maXx8PG4vIh9w33vvvcgvJVNd3qszWHHFnh+SgjiyYIr8V2ThFfe4JTrOsefJ7P+b9AyWHBPpRL/55hv5aw6Ue3EQG4vlArvYpvvyLk/LuJuNlPSpbtm2RMvbFFguR955bgQCgchB7lHVc3Nz89DQkDMGK+44RfeG2RwHm+eqzb4SHcOpqan333//7c7X2ebbRsBBgQVbkZ8LHz58KG+LMi1/Ld+mI1dP9MMiQ+oM5xyDe0sipdqqpM2IFDUWSh5G/reuru7x48dRq0xMTMgn2oWFhdit2S/vvt9ELAuspGOwEp3BinvcEh3nrq6u2O9NLP/r0mk5y8jq77zzjjOQK1HfmfQMVuQClmewUlrF8tWRaLORkj7VLdsWubxzBktWtCmw3iY+8pZPv6jaMW4p6X7Qkh6HRM9VyzNYlvmVl/Pg4GBVVZXzWQgwKLBgK/KsgzNY6sKFC6kWWDdv3jx79qx5Q19eXnZ6dJkw73pSYMkubFoSKdVWJWpGXObXfLLl2F/zzczMxI49v3Pnjry5x/0SMKXlXfbrIvb4xD1iP/zwg/Q0o6Oj0jlJ3yAT8tD5FeG+nXFLmzsixy0lOm6JjrP0UtJXXb9+3XwHJDuSD/2W/zVfu/z1r381neji4qJk1iWiRPMTxeIsbAYhbWxsyAIff/yxM+BGCoi4X125rLLHAivRZiMlfapbti1y+ba2NnN8PvvsM8sCK9UFopi6xBmDFfdXhFHHP2rLSY9DoueqGYMla0WOwYral31+x8fHZebdu3fjHg1oxpMAtpy3jMnJyerq6v3790vnJ5VBqgXW2503PvnAJ1uora11foYjE++//758kP3www+TfkUYZXetituMRPr7++Nej0oKoMjrNrm0cHfLJ9pvXIk2kujt/vvvv5eeJrCjubk58jpYssrw8LD5BVZ3d3fk4JK4x83lOEsPJ1soLy+XVYqLi6Uvlxra8r9SBZpfisl/f/e730VeByvREYg7M24szsLhcPjy5cvmOHz++efOAqFQSObE3WaiVfZYYCXabKSkT3XLtkUu39XVJS89OURyoNxPJnlVYEnFY679JmQi7vVBoo5/1JZtXvKJXuNSMMlryvkVYey+7PMrz0nzLWHcowHNeBLAiv0AIOSHfOoh8imWdFtZWZGKxO9W7In7eErPyQeA8fHxTO4RuYL3HVgZGRmJvPIN8l4+FSX5FEua/PGPf9zc3Hz16lWi7yVzhRSI7iM4vfX3v/898koNQCTed5BccXGxvImk6T4qLgLx5NkedyEzjczCwHctn2JJkzt37pSXlxcVFUVdVDbnSAh//etfM7MveV4dPnzYXA8MiEWBBQAA4DEKLAAAAI9RYAEAAHiMAgsAAMBjFFgAAAAeo8ACAADwmM8FVtSFp50bzUaamZkJBoOBQKC4uLijo+PFixdm/tOnT1tbW4t2yMTKykrkWq9evTK3at9LewAAgLd2XTPkliyKMxQKxb0ZyOnTp6empszt0mSZkydPmvm1tbXXr193bsYedSurP/zhDzdv3kw1kXoSDwBA5unpZ7MlTimeqqurE91XNZJzzcCo+yFEXkvwhx9+kK1F3l/dkp7EAwCQeXr62WyJc3R0tKenx30ZKcJu3brV2tpqHra1tQ0NDTk3Y5eHzpJnz5419/WkwAIAIHvo6WezJc6jR48uLS25LGC+uC0vL3duuv78+XMzykrIhHP269GjR6dOnXLWSrQp5d8NAwCQeXr62ayIc3x8PPL8UyLb29vDw8NO8dTc3Dw0NOSMwWpqajLza2trnZtDcQYLAIDsoaefzYo46+rqHj9+bLlwQUFB1ETUw72clNKTeAAAMk9PP+t/nDMzMw0NDbHznRz09PSYSzBsbGz09/c3Njaa+VKWDQ4OOmOwon5FGLURS3oSr8rW1tbq6ura2prfDQEA7fT0s/7HKQXT1NRU7HwnBxMTE7W1tfKwrKysq6trfX3dzF9eXm5qagrskAlnbFbcjVjSk/hc9OzZs9Vfmpubm40gT5WxXwqFQgMDA8ePH5fMyvPEfZwfACDd9PSzWuK0pCfxjrW1taiqZX5+fvaXJicnx+K5cePGQDyXLl3qjKelpSUYT01NTVWMAwcOpH75uiS++uorv483AKimp5/VEqclSbxUGJ5vNhwOr8awrGNii5jY8qW9vd2maqmoqPC8ZMmkysrKqIgaGhoiQ/7kk0+ijkxvb68csY8++sjZiMzc3Nz0PMUAABv7KLB0Mn3wxx9/LL1yX1+fzTmY48ePR/X6Bw8e9KcA2RWpuqLaX19fHxWjRB33jJQcorhnsEZGRuKe8ZIKcjaepaWl2AJ0a2vL2+RKw8xZMSk95+bmvN04AMDGPgosndJUxBQWFsZ+BWZZx8QWMbHly/37922qFkZ5LywsHDt2zCRFjqTnNRwAwB0FllKS+NLS0t///vfS+964ccPmHIz02VF1DN9AZbNwOHzp0iVzKkuKWopOAMgkCiyl9CReOamMzYg0+Xv//n2/mwMAWujpZ7XEaUlP4rG2ttbc3Gy+LmTkOwBkhp5+VkuclvQkHsbIyIj5UUJNTc3i4qLfzQGAPKenn9USpyU9iYdjaWnJjHwvLCy8ceMGI98BIH309LNa4rSkJ/GIxMh3AMgMPf2sljhdRF1Swe/mwDeRI9+np6f9bg4A5CE9/ayWOC3pSTziihz5funSJUa+A4C39PSzWuK0pCfxcMHIdwBIEz39rJY4LelJPNxFjnwfGxvzuzkAkCf09LNa4rSkJ/FIKhwOd3Z2mq8LW1paGPkOAHunp5/VEqclPYmHpcnJSUa+A4BX9PSzWuK0pCfxsBc58p1bRAPAXujpZ7XEaUlP4pGqGzdumJHvx44dY+Q7AOyOnn5WS5yW9CQeu8DIdwDYIz39rJY4LelJPHYncuS7TLx+/drvFgFALtHTz2qJ05KexGMvGPkOALujp5/VEqclPYnHHjHyHQB2QU8/63OcUfcBLCkpiV1mZmYmGAwGAoHi4uKOjo4XL16Y+U+fPm1tbS3aIRMrKyvO8k1NTWb5rq6u9fX1lNqz96CghzPyXZ6iy8vLfjcHALKdnn42i+IMhUL9/f2x80+fPj01NbW1tbW9vS3LnDx50syvra29fv361o6hoaG6ujozX4qt6elpWTgcDn/55ZdSbNm3QU/i4RVGvgOAPT39bLbEKfVQdXX1y5cvky4ZCATMxP79++POj9psQUGBfTP0JB4eYuQ7AFjS089mS5yjo6M9PT3uy0i1dOvWrdbWVvOwra1taGhoe8fg4KA8jF1lcnKSM1jIDGfke1VV1ezsrN/NAYBspKefzZY4jx49urS05LKAOT1QXl7ujHR5/vy59GRmvkzEnv1aXFz84IMPnj59GndTiXgYFLRZW1traGgwT6S+vr5wOOx3iwAgu+jpZ7MizvHx8bjnn6Jsb28PDw+fOnXKPGxubh4aGnLGYEWdqXr06NF777333XffpdQSPYlHmsizMRQKFRYWynPp+PHjq6urfrcIALKInn42K+Ksq6t7/Pix5cLOmKqowVWRDycmJg4fPrywsJBqS/QkHmn15MkTc3q1tLT0wYMHfjcHALKFnn7W/zhnZmYaGhpi5zs56OnpMZdg2NjY6O/vb2xsNPOlLBscHHTGYDm/Irxz505lZaX7F46J6Ek80m1zc7O9vd18XXjhwgVGvgPAW039rP9xSsE0NTUVO9/JwcTERG1trTwsKyuLvK7V8vKyud6VkAlnbNZehlXpSTwyQ569paWl5prvc3NzfjcHAHymp5/VEqclPYlHxjgXyhJffPEF13wHoJmeflZLnJb0JB4Z1tfXZ2qs48eP7+77awDIA3r6WS1xWtKTeGTewsKCGfl+8ODBv/3tb343BwB8oKef1RKnJT2Jhy9ev37tXPP93LlzjHwHoI2eflZLnJb0JB4+GhkZMbeIrqqqYuQ7AFX09LNa4rSkJ/Hw19ra2okTJ+T5duDAgWvXrvndHADIED39rJY4LelJPHy3tbU1MDAgBZY864LBoJRcfrcIANJOTz+rJU5LehKPLPHkyZMjR47IE+/QoUNc8x1A3tPTz2qJ05KexCN7bG5ufvHFF2bk+5kzZ549e+Z3iwAgXfT0s1ritKQn8cg2Dx48MCPfDx069PDhQ7+bAwBpoaef1RKni13fVwfw1urqakNDg3ke9vb2hsNhv1sEAB7T089qidOSnsQjaw0PD5uR71zzHUD+0dPPaonTkp7EI5stLCzU1NRwzXcA+UdPP6slTkt6Eo8st7m52d7ebr4ulAmu+Q4gP+jpZ7XEaUlP4pETHjx4UFpaaq75Pj8/73dzAGCv9PSzWuK0pCfxyBVra2tm5PuBAweGh4e3trb8bhEA7J6eflZLnJb0JB45RIqqUChUWFgoz88TJ06srq763SIA2CU9/ayWOC3pSTxyzsLCgrl9YWlpKSPfAeQoPf2sljgt6Uk8clE4HL5y5Qoj3wHkLj39rJY4LelJPHLXw4cPzcj3ioqK2dlZv5sDACnQ089qidOSnsQjpz179iwYDJpTWVeuXOGa7wByhZ5+1uc4o25TU1JSErvMzMyM9CWBQKC4uLijo+PFixdm/tOnT1tbW4t2yMTKyoqzytWrV9/Z0d/fn2p79hIOkDFbW1t9fX1c8x1AbtHTz2ZRnKFQKG49dPr06ampKelOtre3ZZmTJ0+a+bW1tdevX9/aMTQ0VFdXZ+Z//fXXjY2NP+2Qykwe2rdBT+KRH5xrvhcWFt6+fdvv5gBAEnr62WyJU4qn6urqly9fJl0yEAiYif3798edL9XVt99+a6ZloqGhwb4ZehKPvBF5zfeWlhZGvgPIZnr62WyJc3R0tKenx30ZKcJu3brV2tpqHra1tQ0NDW3vGBwclIdmflFRkcxxVpGH9s3Qk3jkmXv37pmR7zU1NQsLC343BwDi09PPZkucR48edR9EYj6gl5eXLy8vmznPnz+vqqoy82XCOfsVlbyCgoK4m0rEu5iAjIq85nsoFPK7OQAQh55+NiviHB8fd84/udje3h4eHj516pR52NzcPDQ05IzBampqMvM5gwW15LVw7do1M/I9GAxKyeV3iwDgF/T0s1kRZ11d3ePHjy0Xds5IRZ2ach5GjcGSh/Yt0ZN45LHZ2dnKykp5Mh86dOjBgwd+NwcA/j89/az/cc7MzMQdh+7koKenx1yCYWNjo7+/3ymYpCwbHBx0xmBF/YpwfX2dXxFCrc3NzXPnzplvvbu7u+Wh3y0CgP9HTz/rf5xSDE1NTcXOd3IwMTFRW1srD8vKyrq6uqRyMvOXl5ebmpoCO2TCGZslpA7jOljA2NjYwYMHzSDFubk5v5sDAIr6WS1xWtKTeCixurpqbhF94MCBgYGBra0tv1sEQDU9/ayWOC3pSTz0kKLq0qVL5uvC+vp6Kbn8bhEAvfT0s1ritKQn8dBmYmLi0KFD5prvY2NjfjcHgFJ6+lktcVrSk3gotLm52dLSYk5lXbhwgZHvADJPTz+rJU5LehIPtcbGxgoLC83I9/n5eb+bA0AXPf2sljgt6Uk8NHv27Jlzzfe+vj5GvgPIGD39rJY4LelJPJSTokpKK3PNd0a+A8gYPf2sljgt6Uk8IObm5ioqKsw13+/du+d3cwDkPz39rJY4LelJPGBsbm62t7ebke+XLl1i5DuAtNLTz2qJ05KexAORJiYmSktL5flfU1OzuLjod3MA5C09/ayWOF3s+yW/mwP449mzZ2fOnOGa7wDSSk8/qyVOS3oSD8QlpZUZ+R4MBtfW1vxuDoB8o6ef1RKnJT2JBxKZn58/duyYvBYqKiru37/vd3MA5BU9/ayXcXZ2dhYXF8uxKykp6erq8nDLGaMn8YCLcDgsL2fzpblMMPIdgFf09LOexdnW1vbxxx+bN2L5e/bs2fPnz3u18YzRk3ggqbGxMUa+A/CWnn7WszgLCgrevHnjPJTpQCDg1cYzRk/iARtra2vNzc2MfAfgFT39rGdxSjkVDoedh1JgFRUVebXxjNGTeMAeI98BeEVPP+tZnJ9++ql80t3Y2JBp+dvU1HThwgWvNp4xehIPpISR7wA8oaef9TLO7u7ud955Z//+/cXFxT09PR5uOWP0JB5IFSPfAeydnn5WS5yW9CQe2B1GvgPYCz39rJY4LelJPLBrzsj3wsLCGzduMPIdgD09/axncT59+rS8vFwO3P7/KSgoSL77XyopKYldZmZmJhgMBgKB4uLijo6OFy9euK8rLWltbS3aIRMrKyv2UehJPLBHjHwHsAt6+lnP4qyoqBgdHd3e3t71FkKhUH9/f+z806dPT01Nyadk2bgsc/LkSfd1a2trr1+/vrVjaGiorq7Ovg16Eg/s3ezsbGVlpRn5Pjk56XdzAOQAPf2sZ3HKIdtLdSXrVldXv3z5MumSsZfXilp3//797su70JN4wBOvX782t4hm5DsAG3r6Wc/iLCkpibwOVqpGR0eT/vBQCqlbt261tra6r9vW1jY0NLS9Y3BwUB7aN0NP4gEPDQ8PFxYWMvIdQFJ6+lnP4gyFQvL5ddfDXY8ePbq0tOSygPmIXF5evry87L7u8+fPq6qqzPIyEXtWbJ+r3bUfUE7qqhMnTjDyHYA7Pf3snuLc78pmkLsxPj5uc55pe3tbPiifOnXKfd3m5uahoSFnDFZTU5N9RHoSD3hOXnFffPEFI98BuNDTz2ZFnHV1dY8fP7ZcOKpui103agH7Ou+tpsQDafLgwQNGvgNIRE8/61mcUUPL7c3MzDQ0NMTOd3LQ09NjLrWwsbHR39/f2Njovq6UXIODg84YLH5FCGQYI98BJKKnn/UszuLi4jdv3uxiRSmYpqamYuc7OZiYmKitrZWHZWVlXV1d6+vr7usuLy83NTUFdshE7JgtF3oSD6QbI98BxNLTz3oW582bN+Wj6s8//+zVBn2hJ/FABjDyHSmRZ8ja2to///nP3/72t/KJuq+vz+8WwXt6+lkvvyLc9SD37KEn8UBmRI18f/bsmd8tQlYIh8NSfz948EAq7ytXrnzyySfHjh0zzxPHr3/9a3nyrK6u+t1YeElPP6slTkt6Eg9kkjPyvbS0dGJiwu/mIHOkkJKq+smTJ/fu3bt69eq5c+ekzj5y5EhULeWQZ0hdXZ35byAQkL8yfebMmdnZWb9DgTf09LNa4rSkJ/FAhkWNfJeHfrcIHtvc3JRCSorpa9euXblyRdIthZQZhxfr4MGDVVVVzc3NX3zxhSx///79xcXFtbU18z3yjz/+uLq6+vz5876+PlnSrCKVmVTnfNGc6/T0s1ritKQn8YAvpB81/aV0rnNzc343B7sklZCk7969e1IbdXd3S+kjCU10UurQoUP19fXt7e1Xr14dGxubn5+X+sl+X1K3DQ8Py0bM1qRoC4VCe7lxCPylp5/VEqclPYkH/LK4uFhTU2O++pEelxMS2UwKKamHpCy+cePGpUuXWlpaJHeJTkrJfPnvmTNnent7b9++PTk5ubS05FV+paIaGRmR6srsq6KiQprEkL5cpKef1RKnJT2JB3wkna70juaER0NDA6OYs4EUK3Nzc2NjYwMDA52dneakVNxCypyAlGJLSi7Jo5RfUoRl5sL98syRFtbX1zvfM0prKbNyi55+VkuclvQkHvCddOdm5Lt0k9JJ+90cLWJPSrkMOa+oqDDf7vX19Y2MjJiTUtnw9dzs7KyUgKaR0nipCCnTc4WeflZLnJb0JB7IBq9fv/7kk09MNykTjHz3kJRBUgxJSSSFkZRHUiRJqeT+7Z4vJ6X2QsosicupDs+cOfPkyRO/G4Uk9PSzWuK0pCfxQPaQHt10/FVVVdPT0343J/fEnpRy+XYva09K7dry8nJnZ6dTZgWDQa7pkM309LNa4nQR9e7jd3MAjVZXVxsaGsxrcGBggJHvccWelEo65DzqpFROF1LupMySY1JaWmrCP378+IMHD3giZSE9/ayWOC3pSTyQbaQv7O3tNb3jiRMnlA+piTopFQwGKyoq7E9KqT16r1+/lgLdKbOOHTs2PDzM7cazip5+VkuclvQkHshOExMT5opHSka+R52UsrkOQuRJqVz/di9NpMyKuqaDVF2M8MsSevpZLXFa0pN4IGutra05PxDLp2u+R56Ukrjq6+vtT0rNzs5m/5DzbGOu6eCUWaWlpb29vVzTwXd6+lktcVrSk3ggy92+fducyKmsrMytMcuRJ6UsL87pnJTKgyHn2UbKLDmqTskuB1yq24WFBb/bpZeeflZLnJb0JB7Ifs413/dl68h356SUNM9cB8HypJS5YwwnpTIp6tJZFy5cyK3CPW/o6We1xGlJT+KBnLC5uSkViekUT5w4sbS05EsznJNS9neMMSel8uM6CPlEchF5TQdJkyQoC2v3PKann9USpyU9iQdyyL1798yZIaldbt++ndZ9mZNSY2NjzsU5bU5KDQwM5MrFOfH2f5fOckrk48ePT0xMUGZlhp5+VkuclvQkHsgtkSPfpaDZ+8h3c1IqpdsYyzJ5c3FOvI25psORI0eksKbMSjc9/ayWOC3pSTyQi5xbRFdUVMzNzVmuJcXZ7Oxs5B1jkp6U6uzszKE7xmAvTJllbotpyixJfd78djUL6elntcRpSU/igRw1PT1tLpQllVZvb2/kaSSZjrpjTNKTUvl0xxjsRew1Hbh0Vpro6Wd9jjPqLa+kpCR2mZmZmWAwGAgEiouLOzo6Xrx4kXTdxcXF5ubmoqIi+VBy9+7dlNqzx4gApJt0e1I/Oa/99957T17v7iel5D0kt25jDF+YMqu+vt4ps+Rps7y87He78oqefjaL4gyFQv39/bHzT58+PTU1Jc/77e1tWebkyZPu68rH0Orqavk8Ksuvr69fvnzZvg16Eg/kugcPHsSelMqz2xjDL1HXdOjs7KTM8oqefjZb4pRiSKqily9fJl0yEAi4ryuvhJTOWkXSk3ggD5SVlclr9je/+c309DRX6IbnpMySet0M+5O/LS0tXDpr7/T0s9kS5+joaE9Pj/syUkjdunWrtbXVfd2SkhL58FpRUSGl2Gefffbq1Sv7ZuhJPJAHVldXpcNTe2NjZIa5poNz6axgMEiZtRd6+tlsifPo0aPulxA0z+zy8vLY87RR68pi3d3db968CYfDFy9ePH/+fNxNJeJVRACAvCFdT19fn3NNh5qaGq7psDt6+tmsiHN8fLytrS3pYtvb28PDw6dOnXJft6ioyBl1IWVW7FeKLvQkHgCQqriXzmKcX0r09LNZEWddXd3jx48tFy4oKHBfNxgMRhZYUm/Zt0RP4gEAuyNl1sjICNd02B09/az/cc7MzDQ0NMTOd3LQ09OzsrIiExsbG/39/Y2Nje7r3r179+LFi+Ed3d3dHR0d9o3Rk3gAwF7EvXQWP7ZISk8/63+cUjBNTU3FzndyMDExUVtbKw/Lysq6urrW19eTrjs0NCQLBwKB9vZ2BrkDANJEyqzJyUmu6WBPTz+rJU5LehIPAPBQ7KWz5ufn/W5UNtLTz2qJ05KexAMAPLe0tMQ1Hdzp6We1xGlJT+IBAGliLp3l3AdTyqz79+9zTQdDTz+rJU5LehIPAEir2Gs6/O1vf+OaDnr6WS1xWtKTeABABpgyq7Ky0pRZFRUVoVBIc5mlp5/VEqclPYkHAGRM3Gs6/Pjjj363ywd6+lktcVrSk3gAQIZJmXXv3j3nx4YHDx7s7e3VdjNNPf2sljgt6Uk8AMAvk5OT9fX15seG8vfcuXNPnjzxu1EZoqef1RKnJT2JBwD4a2FhQUor55oOFy5cWFpa8rtRaaenn9USpyU9iQcAZIPFxcXe3l6nzGppaZmenva7UWmkp5/VEqeLfb/kd3MAAOosLy9funTJuabDsWPH7t27l5eXztLTz2qJ05KexAMAsk3UpbMqKyvz75oOevpZLXFa0pN4AEB2korq9u3bzqWzTJm1ubnpd7u8oaef1RKnJT2JBwBkMymzxsbGTpw4YcqsQ4cOXb16dW1tze927ZWeflZLnJb0JB4AkBMePnzoXDqrsLCwu7s7p39sqKef1RKnJT2JBwDkkNnZ2ebmZufHhmfOnJE5fjdqN/T0s1ritKQn8QCAnLO8vNzZ2Rl5TYe5uTm/G5UaPf2sljgt6Uk8ACBHLS0tXbly5eDBg6bMamhomJiYyJVrOujpZ7XEaUlP4gEAOW1tba2vr8/5sWFNTc3Y2Fj2l1l6+lktcVrSk3gAQB4Ih8M3btxwLp115MgRefj69Wu/25WQnn5WS5yW9CQeAJA3zDUdpLoyZZbUWwMDA9lZZunpZ7XEaUlP4gEAeWZra0vKrPr6eqfMunTp0vLyst/t+gU9/azPcUbdB7CkpCR2mZmZmWAwGAgEiouLOzo6Xrx4YbPuq1evqqqqUk2knsQDAPLV7Oysc+msAwcOdHZ2Zk+ZpaefzaI4Q6FQf39/7PzTp09PTU1JYb69vS3LnDx50mbdP/zhDzdv3qTAAgDoJGVWe3u7uaaD/G1pacmGS2fp6WezJU4pnqqrq1++fJl0yUAgkHTdH374QeZITUaBBQDQLOrSWcFg0N8yS08/my1xjo6O9vT0uC8jhdStW7daW1uTrnv27Nl//OMfb1NPpJ7EAwD0kDKrr6/P+bGhj9d00NPPZkucR48edb+5knlOlJeXx36RHLXuo0ePTp065ayVaFOJ7DkUAACy0evXrwcGBiKv6SBlVjgczmQb9PSzWRHn+Ph4W1tb0sW2t7eHh4ed4inRurW1tf/5z3/MNGewAACIJGXWyMiIX9d00NPPZkWcdXV1jx8/tly4oKDAfd29nJTSk3gAgGbmmg5RZdazZ8/SvV89/az/cc7MzDQ0NMTOd3LQ09OzsrIiExsbG/39/Y2NjUnXjd2IJT2JBwBAyqzJyclMXtNBTz/rf5xSME1NTcXOd3IwMTFRW1srD8vKyrq6utbX15OuG7sRS3oSDwCAI/bSWfPz8+nYkZ5+VkuclvQkHgCAKEtLS+m+poOeflZLnJb0JB4AgLjMpbMKCwudMuv+/fteXdNBTz+rJU5LehIPAICL2Gs63L59e+9llp5+VkuclvQkHgCApEyZVVlZacosmbh27drm5uauN6inn9USpyU9iQcAwJK5psOxY8dMmXXw4MErV67s7tJZevpZLXFa0pN4AABSdf/+/fr6eqfM6u7uXl1dTWkLevpZLXFa0pN4AAB2Z35+vqWlxbmmw7lz59xvdhdJTz+rJU5LehIPAMBeLC4udnd3Oz82bG5unp6eTrqWnn5WS5yW9CQeAIC9W1tbiyyzjh8/fu/ePZcfG+rpZ7XEaUlP4gEA8IqUWVevXj106JAps6qqqkKhUDgcjl1STz+rJU4Xu74zNAAAcEhFNTIy4txAWsoseRhVZunpZ7XEaUlP4gEASIetra1QKCTVlSmzKioqrl275lzTQU8/qyVOS3oSDwBA+kiZFXVNh97e3tXVVT39rJY4LelJPAAAGTA3N3fu3DlTZv3qV7/S089qidOSnsQDAJAx8/PzNTU1qsY6a4nTkp7EAwCQSWNjYxRYeulJPAAAGfbs2TM9/ayWOC3pSTwAAJmnp5/VEqclPYkHACDz9PSzWuK0pCfxAABknp5+VkuclvQkHgCAzNPTz2qJ05KexAMAkHl6+lktcVrSk3gAADJPTz+rJU5L+wAAQDr53dVniJY47fmSez079Wu/BJuv+9WzU7/2S7D5ul9VwfpCS5z29DzRVb26CDZf96tnp37tl2Dzdb+qgvWFljjt6Xmiq3p1EWy+7lfPTv3aL8Hm635VBesLLXHa0/NEV/XqIth83a+enfq1X4LN1/2qCtYXWuK0pyf3qpDWfEVm8xWZzVd6MqslTnt6cq8Kac1XZDZfkdl8pSezWuK0pyf3qpDWfEVm8xWZzVd6MqslTnt6cq8Kac1XZDZfkdl8pSezWuK0pyf3qpDWfEVm8xWZzVd6MqslTgAAgIyhwAIAAPAYBRYAAIDHKLAAAAA8RoEFAADgMQosAAAAj1FgAQAAeCz/C6yrV6++s6O/v99mvmNmZqapqSkQCBQXF3d1da2vr5v5r169On/+vMwvKysbHBxMewCIZy9pDQaDJq0dHR0vXrywXxcZkI7M7vuf9DYdrjzPbKK3aGRYOjKb6LWcW/L8Hefrr79ubGz8aYckTB66z4/U2to6PT29vb0dDoe//PJLeSWb+ZLv7u7uN2/eyPyLFy+Ojo5mLh7s2EtaT58+PTU1tbW1JZkNhUInT560Xxfplo7MOiiwfJSOzCZ6i0YmpSOzSV/LuSLP33Ekwd9++62ZlomGhgb3+W8TvAtLmgsKCsy0lNXyejbTMsGrOvO8SuvbnWwmXRcZk47MJl0SGZDWzL795Vs0MindmXWZn/3y/B2nqKhIXnhmWibkofv8twlyPzk56RRSkQXWmzdvItdFZniSVlng1q1b8iE46brImHRk1mVJZExaM/v2l2/RyKS0ZtYl4zkhz99xohLpfMRJND+uxcXFDz744OnTp+bhhQsXLl68GN4hE3xsyry9p9WMyCkvL19eXk51XaRPOjKbaOPIpLRmNuotGpmUvsy6ZDxX5Pk7zi6K6yiPHj167733vvvuO2fOq1ev2tvbA4FARUXFnTt3SkpK0tZ8xLf3tJoFhoeHT506tYt1kSbpyKyDAstH6cts7Fs0Mimtr9lE83NFnr/jRH0NLA/d50eZmJg4fPjwwsJCou3fvXu3o6PD0yYjuT2mNZLzuWoX68Jz6cisgwLLR2nKbNK3aKRbWl+z7vOzX56/45gfMqyvr8f9gUPs/LcR78J37typrKxcWlqK2ubnn38uK0plPTk5KZ+ccvfsZe7aS1p7enpWVlZkYmNjo7+/33nZu6yLjElHZmOXROalI7OJ3qKRSenIbNLXcq7I/3ccSU/cS3Ekmu/kfl8MM//u3bsVFRWBQKC5uXlxcTEzUSDKrtMqH3lra2vlYVlZWdS1cxKti0xKR2bjvpCRYZ5nNtFbNDLM88y6vJZzC89IAAAAj1FgAQAAeIwCCwAAwGMUWAAAAB7L8wLL5W6gqd6fcnFxsbm5uaioqLKy8u7du4n2mGi4peWNhOOuzj1NAQDILXleYCW6G2iq96dcWlqqrq6enJyUTUl9c/nyZff9RlVIqd5IOGp17mkKAEBuyfMCK1Lk3UBTvT9lZ2eny1mrWFEVUqo3Enb5vTH3NAUAIPspKrAi7waa6tX9S0pKRkZGzOWvPvvss1evXrnvK6pCSvU2LC4FFvc0BQAg+2kpsKLuBprq/Sllfnd395s3b8wNns+fP+++u6jtpHoj4UQFFvc0BQAgJ6gosGLvBprqGSyZkNLKTEuZFQgEzHSiIe2WZ7AsV08UBQAAyE75X2DFvRtoqvenDAaDkQVWqt/xpXrby9gCi3uaAgCQQ/K8wEp0N9BU70959+7dixcvhnd0d3d3dHS47zfurwjtbyQctTr3NAUAILfkeYHlcjfQVO9POTQ0VFZWFggE2tvbXQa5p7o7m9W5pykAALmFrhoAAMBjFFgAAAAeo8ACAADwGAUWAACAxyiwAAAAPEaBBQAA4DEKLAAAAI9RYAEAAHiMAgsAAMBjFFgAAAAeo8ACAADwGAUWAACAxyiwAAAAPEaBBQAA4DEKLAAAAI9RYAEAAHiMAgsAAMBjFFgAAAAeo8ACAADwGAUWAACAxyiwAAAAPEaBBQAA4DEKLAAAAI9RYAEAAHiMAgsAAMBjFFgAAAAe+z8ReO3nHHqn7gAAAABJRU5ErkJggg==)
| VMR Tools created by Darren De Zeeuw. |